g05 – Random Number Generators

FunctionName |
Mark ofIntroduction |
Purpose |

g05cac
Example Text |
1 | nag_random_continuous_uniform Pseudorandom real numbers, uniform distribution over (0,1) Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05cbc
Example Text |
1 | nag_random_init_repeatable Initialize random number generating functions to give repeatable sequence Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ccc
Example Text |
1 | nag_random_init_nonrepeatable Initialize random number generating functions to give non-repeatable sequence Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05cfc
Example Text |
1 | nag_save_random_state Save state of random number generating functions Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05cgc
Example Text |
1 | nag_restore_random_state Restore state of random number generating functions Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05dac
Example Text |
1 | nag_random_continuous_uniform_ab Pseudorandom real numbers, uniform distribution over $\left(a,b\right)$ Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05dbc
Example Text |
1 | nag_random_exp Pseudorandom real numbers, (negative) exponential distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ddc
Example Text |
1 | nag_random_normal Pseudorandom real numbers, Normal distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05dyc
Example Text |
1 | nag_random_discrete_uniform Pseudorandom integer from uniform distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05eac
Example Text |
2 | nag_ref_vec_multi_normal Set up reference vector for multivariate Normal distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ecc
Example Text |
2 | nag_ref_vec_poisson Set up reference vector for generating pseudorandom integers, Poisson distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05edc
Example Text |
2 | nag_ref_vec_binomial Set up reference vector for generating pseudorandom integers, binomial distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ehc
Example Text |
3 | nag_ran_permut_vec Pseudorandom permutation of an integer vector Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ejc
Example Text |
3 | nag_ran_sample_vec pseudorandom sample without replacement from an integer vector Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05exc
Example Text |
2 | nag_ref_vec_discrete_pdf_cdf Set up reference vector from supplied cumulative distribution function or probability distribution function Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05eyc
Example Text |
2 | nag_return_discrete Pseudorandom integer from reference vector Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ezc
Example Text |
2 | nag_return_multi_normal Pseudorandom multivariate Normal vector from reference vector Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05fec
Example Text |
2 | nag_random_beta pseudorandom real numbers from the beta distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ffc
Example Text |
2 | nag_random_gamma pseudorandom real numbers from the gamma distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05hac
Example Text |
3 | nag_arma_time_series ARMA time series of $n$ terms Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05hkc | 6 | nag_generate_agarchI Univariate time series, generate $n$ terms of either a symmetric GARCH process or a GARCH process with asymmetry of the form ${\left({\epsilon}_{\mathrm{t}-1}+\gamma \right)}^{2}$ Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05hlc | 6 | nag_generate_agarchII Univariate time series, generate $n$ terms of a GARCH process with asymmetry of the form ${\left(\left|{\epsilon}_{t-1}\right|+\gamma {\epsilon}_{t-1}\right)}^{2}$ Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05hmc | 6 | nag_generate_garchGJR Univariate time series, generate $n$ terms of an asymmetric Glosten, Jagannathan and Runkle (GJR) GARCH process Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05kac
Example Text |
7 | nag_rngs_basic Pseudorandom real numbers, uniform distribution over (0,1), seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05kbc
Example Text |
7 | nag_rngs_init_repeatable Initialize seeds of a given generator for random number generating functions (that pass seeds explicitly) to give a repeatable sequence Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05kcc
Example Text |
7 | nag_rngs_init_nonrepeatable Initialize seeds of a given generator for random number generating functions (that pass seeds expicitly) to give non-repeatable sequence Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05kec
Example Text |
7 | nag_rngs_logical Pseudorandom logical (boolean) value, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05kfc
Example Text |
9 | nag_rand_init_repeatable Initializes a pseudorandom number generator to give a repeatable sequence |

g05kgc
Example Text |
9 | nag_rand_init_nonrepeatable Initializes a pseudorandom number generator to give a non-repeatable sequence |

g05khc
Example Text |
9 | nag_rand_leap_frog Primes a pseudorandom number generator for generating multiple streams using leap-frog |

g05kjc
Example Text |
9 | nag_rand_skip_ahead Primes a pseudorandom number generator for generating multiple streams using skip-ahead |

g05kkc
Example Text Example Data |
23 | nag_rand_skip_ahead_power2 Primes a pseudorandom number generator for generating multiple streams using skip-ahead, skipping ahead a power of $2$ |

g05lac
Example Text |
7 | nag_rngs_normal Generates a vector of random numbers from a Normal distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lbc
Example Text |
7 | nag_rngs_students_t Generates a vector of random numbers from a Student's $t$-distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lcc
Example Text |
7 | nag_rngs_chi_sq Generates a vector of random numbers from a ${\chi}^{2}$ distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ldc
Example Text |
7 | nag_rngs_f Generates a vector of random numbers from an $F$-distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lec
Example Text |
7 | nag_rngs_beta Generates a vector of random numbers from a $\beta $ distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lfc
Example Text |
7 | nag_rngs_gamma Generates a vector of random numbers from a $\gamma $ distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lgc
Example Text |
7 | nag_rngs_uniform Generates a vector of random numbers from a uniform distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lhc
Example Text |
7 | nag_rngs_triangular Generates a vector of random numbers from a triangular distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ljc
Example Text |
7 | nag_rngs_exp Generates a vector of random numbers from an exponential distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lkc
Example Text |
7 | nag_rngs_lognormal Generates a vector of random numbers from a log-normal distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05llc
Example Text |
7 | nag_rngs_cauchy Generates a vector of random numbers from a Cauchy distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lmc
Example Text |
7 | nag_rngs_weibull Generates a vector of random numbers from a Weibull distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lnc
Example Text |
7 | nag_rngs_logistic Generates a vector of random numbers from a logistic distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lpc
Example Text |
7 | nag_rngs_von_mises Generates a vector of random numbers from a von Mises distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lqc
Example Text |
7 | nag_rngs_exp_mix Generates a vector of random numbers from an exponential mixture distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lxc
Example Text |
8 | nag_rngs_matrix_multi_students_t Generates a matrix of random numbers from a multivariate Student's $t$-distribution, seeds and generator passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lyc
Example Text |
8 | nag_rgsn_matrix_multi_normal Generates a matrix of random numbers from a multivariate Normal distribution, seeds and generator passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05lzc
Example Text |
7 | nag_rngs_multi_normal Generates a vector of random numbers from a multivariate Normal distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mac
Example Text |
7 | nag_rngs_discrete_uniform Generates a vector of random integers from a uniform distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mbc
Example Text |
7 | nag_rngs_geom Generates a vector of random integers from a geometric distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mcc
Example Text |
7 | nag_rngs_neg_bin Generates a vector of random integers from a negative binomial distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mdc
Example Text |
7 | nag_rngs_logarithmic Generates a vector of random integers from a logarithmic distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mec
Example Text |
7 | nag_rngs_compd_poisson Generates a vector of random integers from a Poisson distribution with varying mean, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mjc
Example Text |
7 | nag_rngs_binomial Generates a vector of random integers from a binomial distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mkc
Example Text |
7 | nag_rngs_poisson Generates a vector of random integers from a Poisson distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mlc
Example Text |
7 | nag_rngs_hypergeometric Generates a vector of random integers from a hypergeometric distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mrc
Example Text |
7 | nag_rngs_gen_multinomial Generates a vector of random integers from a multinomial distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05mzc
Example Text |
7 | nag_rngs_gen_discrete Generates a vector of random integers from a general discrete distribution, seeds and generator number passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05nac
Example Text |
7 | nag_rngs_permute Pseudorandom permutation of an integer vector Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05nbc
Example Text |
7 | nag_rngs_sample Pseudorandom sample from an integer vector Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ncc
Example Text |
9 | nag_rand_permute Pseudorandom permutation of an integer vector |

g05ndc
Example Text |
9 | nag_rand_sample Pseudorandom sample from an integer vector |

g05nec
Example Text Example Data |
23 | nag_rand_sample_unequal Pseudorandom sample, without replacement, unequal weights |

g05pac
Example Text |
7 | nag_rngs_arma_time_series Generates a realization of a time series from an ARMA model Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05pcc
Example Text Example Data |
7 | nag_rngs_varma_time_series Generates a realization of a multivariate time series from a VARMA model Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05pdc
Example Text |
9 | nag_rand_agarchI Generates a realization of a time series from a GARCH process with asymmetry of the form ${\left({\epsilon}_{t-1}+\gamma \right)}^{2}$ |

g05pec
Example Text |
9 | nag_rand_agarchII Generates a realization of a time series from a GARCH process with asymmetry of the form ${\left(\left|{\epsilon}_{t-1}\right|+\gamma {\epsilon}_{t-1}\right)}^{2}$ |

g05pfc
Example Text |
9 | nag_rand_garchGJR Generates a realization of a time series from an asymmetric Glosten, Jagannathan and Runkle (GJR) GARCH process |

g05pgc
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9 | nag_rand_egarch Generates a realization of a time series from an exponential GARCH (EGARCH) process |

g05phc
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9 | nag_rand_arma Generates a realization of a time series from an ARMA model |

g05pjc
Example Text Example Data |
9 | nag_rand_varma Generates a realization of a multivariate time series from a VARMA model |

g05pmc
Example Text Example Data |
9 | nag_rand_exp_smooth Generates a realization of a time series from an exponential smoothing model |

g05pxc
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9 | nag_rand_orthog_matrix Generates a random orthogonal matrix |

g05pyc
Example Text Example Data |
9 | nag_rand_corr_matrix Generates a random correlation matrix |

g05pzc
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9 | nag_rand_2_way_table Generates a random two-way table |

g05qac
Example Text |
7 | nag_rngs_orthog_matrix Computes a random orthogonal matrix Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05qbc
Example Text Example Data |
7 | nag_rngs_corr_matrix Computes a random correlation matrix Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05qdc
Example Text |
7 | nag_rngs_2_way_table Generates a random table matrix Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05rac
Example Text |
8 | nag_rngs_copula_normal Generates a matrix of random numbers from a Gaussian copula, seeds and generator passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05rbc
Example Text |
8 | nag_rngs_copula_students_t Generates a matrix of random numbers from a Student's $t$-copula, seeds and generator passed explicitly Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05rcc
Example Text |
9 | nag_rand_copula_students_t Generates a matrix of pseudorandom numbers from a Student's $t$-copula |

g05rdc
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9 | nag_rand_copula_normal Generates a matrix of pseudorandom numbers from a Gaussian copula |

g05rec
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9 | nag_rand_bivariate_copula_clayton Generates a matrix of pseudorandom numbers from a bivariate Clayton/Cook–Johnson copula |

g05rfc
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9 | nag_rand_bivariate_copula_frank Generates a matrix of pseudorandom numbers from a bivariate Frank copula |

g05rgc
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9 | nag_rand_bivariate_copula_plackett Generates a matrix of pseudorandom numbers from a bivariate Plackett copula |

g05rhc
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9 | nag_rand_copula_clayton Generates a matrix of pseudorandom numbers from a multivariate Clayton/Cook–Johnson copula |

g05rjc
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9 | nag_rand_copula_frank Generates a matrix of pseudorandom numbers from a multivariate Frank copula |

g05rkc
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9 | nag_rand_copula_gumbel Generates a matrix of pseudorandom numbers from a Gumbel–Hougaard copula |

g05ryc
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9 | nag_rand_matrix_multi_students_t Generates a matrix of pseudorandom numbers from a multivariate Student's $t$-distribution |

g05rzc
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9 | nag_rand_matrix_multi_normal Generates a matrix of pseudorandom numbers from a multivariate Normal distribution |

g05sac
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9 | nag_rand_basic Generates a vector of pseudorandom numbers from a uniform distribution over $\left(0,1\right]$ |

g05sbc
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9 | nag_rand_beta Generates a vector of pseudorandom numbers from a beta distribution |

g05scc
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9 | nag_rand_cauchy Generates a vector of pseudorandom numbers from a Cauchy distribution |

g05sdc
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9 | nag_rand_chi_sq Generates a vector of pseudorandom numbers from a ${\chi}^{2}$ distribution |

g05sec
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9 | nag_rand_dirichlet Generates a vector of pseudorandom numbers from a Dirichlet distribution |

g05sfc
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9 | nag_rand_exp Generates a vector of pseudorandom numbers from an exponential distribution |

g05sgc
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9 | nag_rand_exp_mix Generates a vector of pseudorandom numbers from an exponential mix distribution |

g05shc
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9 | nag_rand_f Generates a vector of pseudorandom numbers from an $F$-distribution |

g05sjc
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9 | nag_rand_gamma Generates a vector of pseudorandom numbers from a gamma distribution |

g05skc
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9 | nag_rand_normal Generates a vector of pseudorandom numbers from a Normal distribution |

g05slc
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9 | nag_rand_logistic Generates a vector of pseudorandom numbers from a logistic distribution |

g05smc
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9 | nag_rand_lognormal Generates a vector of pseudorandom numbers from a log-normal distribution |

g05snc
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9 | nag_rand_students_t Generates a vector of pseudorandom numbers from a Student's $t$-distribution |

g05spc
Example Text |
9 | nag_rand_triangular Generates a vector of pseudorandom numbers from a triangular distribution |

g05sqc
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9 | nag_rand_uniform Generates a vector of pseudorandom numbers from a uniform distribution over $\left[a,b\right]$ |

g05src
Example Text |
9 | nag_rand_von_mises Generates a vector of pseudorandom numbers from a von Mises distribution |

g05ssc
Example Text |
9 | nag_rand_weibull Generates a vector of pseudorandom numbers from a Weibull distribution |

g05tac
Example Text |
9 | nag_rand_binomial Generates a vector of pseudorandom integers from a binomial distribution |

g05tbc
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9 | nag_rand_logical Generates a vector of pseudorandom logical values |

g05tcc
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9 | nag_rand_geom Generates a vector of pseudorandom integers from a geometric distribution |

g05tdc
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9 | nag_rand_gen_discrete Generates a vector of pseudorandom integers from a general discrete distribution |

g05tec
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9 | nag_rand_hypergeometric Generates a vector of pseudorandom integers from a hypergeometric distribution |

g05tfc
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9 | nag_rand_logarithmic Generates a vector of pseudorandom integers from a logarithmic distribution |

g05tgc
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9 | nag_rand_gen_multinomial Generates a vector of pseudorandom integers from a multinomial distribution |

g05thc
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9 | nag_rand_neg_bin Generates a vector of pseudorandom integers from a negative binomial distribution |

g05tjc
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9 | nag_rand_poisson Generates a vector of pseudorandom integers from a Poisson distribution |

g05tkc
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9 | nag_rand_compd_poisson Generates a vector of pseudorandom integers from a Poisson distribution with varying mean |

g05tlc
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9 | nag_rand_discrete_uniform Generates a vector of pseudorandom integers from a uniform distribution |

g05yac
Example Text |
7 | nag_quasi_random_uniform Multidimensional quasi-random number generator with a uniform probability distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05ybc
Example Text |
7 | nag_quasi_random_normal Multidimensional quasi-random number generator with a Gaussian or log-normal probability distribution Note: this function is scheduled for withdrawal at Mark 24, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information. |

g05yjc
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9 | nag_quasi_rand_normal Generates a Normal quasi-random number sequence |

g05ykc
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9 | nag_quasi_rand_lognormal Generates a log-normal quasi-random number sequence |

g05ylc | 9 | nag_quasi_init Initializes a quasi-random number generator |

g05ymc
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9 | nag_quasi_rand_uniform Generates a uniform quasi-random number sequence |

g05ync
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9 | nag_quasi_init_scrambled Initializes a scrambled quasi-random number generator |