g01dac | Normal scores, accurate values |

g01dcc | Normal scores, approximate variance-covariance matrix |

g01dhc | Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |

g01eac | Probabilities for the standard Normal distribution |

g01fac | Deviates for the Normal distribution |

g01hac | Probability for the bivariate Normal distribution |

g01hbc | Computes probabilities for the multivariate Normal distribution |

g01kac | Calculates the value for the probability density function of the Normal distribution at a chosen point |

g01kqc | Calculates a vector of values for the probability density function of the Normal distribution at chosen points |

g01nac | Cumulants and moments of quadratic forms in Normal variables |

g01nbc | Moments of ratios of quadratic forms in Normal variables, and related statistics |

g01sac | Computes a vector of probabilities for the standard Normal distribution |

g01tac | Computes a vector of deviates for the standard Normal distribution |

g02gac | Fits a generalized linear model with Normal errors |

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

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

g05yjc | Generates a Normal quasi-random number sequence |

g07bbc | Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |

g07cac | Computes t-test statistic for a difference in means between two Normal populations, confidence interval |

s15abc | Cumulative Normal distribution function P(x) |

s15acc | Complement of cumulative Normal distribution function Q(x) |

© The Numerical Algorithms Group Ltd, Oxford UK. 2012