G01HBF | Computes probabilities for the multivariate Normal distribution |

G01HDF | Computes the probability for the multivariate Student's $t$-distribution |

G01LBF | Computes a vector of values for the probability density function of the multivariate Normal distribution |

G05PJF | Generates a realisation of a multivariate time series from a VARMA model |

G05RYF | Generates a matrix of pseudorandom numbers from a multivariate Student's $t$-distribution |

G05RZF | Generates a matrix of pseudorandom numbers from a multivariate Normal distribution |

G13BAF | Multivariate time series, filtering (pre-whitening) by an ARIMA model |

G13BBF | Multivariate time series, filtering by a transfer function model |

G13BCF | Multivariate time series, cross-correlations |

G13BDF | Multivariate time series, preliminary estimation of transfer function model |

G13BEF | Multivariate time series, estimation of multi-input model |

G13BGF | Multivariate time series, update state set for forecasting from multi-input model |

G13BHF | Multivariate time series, forecasting from state set of multi-input model |

G13BJF | Multivariate time series, state set and forecasts from fully specified multi-input model |

G13CCF | Multivariate time series, smoothed sample cross spectrum using rectangular, Bartlett, Tukey or Parzen lag window |

G13CDF | Multivariate time series, smoothed sample cross spectrum using spectral smoothing by the trapezium frequency (Daniell) window |

G13CEF | Multivariate time series, cross amplitude spectrum, squared coherency, bounds, univariate and bivariate (cross) spectra |

G13CFF | Multivariate time series, gain, phase, bounds, univariate and bivariate (cross) spectra |

G13CGF | Multivariate time series, noise spectrum, bounds, impulse response function and its standard error |

G13DBF | Multivariate time series, multiple squared partial autocorrelations |

G13DDF | Multivariate time series, estimation of VARMA model |

G13DJF | Multivariate time series, forecasts and their standard errors |

G13DKF | Multivariate time series, updates forecasts and their standard errors |

G13DLF | Multivariate time series, differences and/or transforms |

G13DMF | Multivariate time series, sample cross-correlation or cross-covariance matrices |

G13DNF | Multivariate time series, sample partial lag correlation matrices, ${\chi}^{2}$ statistics and significance levels |

G13DPF | Multivariate time series, partial autoregression matrices |

G13DSF | Multivariate time series, diagnostic checking of residuals, following G13DDF |

© The Numerical Algorithms Group Ltd, Oxford UK. 2013