| g01hbc | Computes probabilities for the multivariate Normal distribution |
| g05eac | Set up reference vector for multivariate Normal distribution |
| g05ezc | Pseudo-random multivariate Normal vector from reference vector |
| g05lxc | Generates a matrix of random numbers from a multivariate Student's t-distribution, seeds and generator passed explicitly |
| g05lyc | Generates a matrix of random numbers from a multivariate Normal distribution, seeds and generator passed explicitly |
| g05lzc | Generates a vector of random numbers from a multivariate Normal distribution, seeds and generator number passed explicitly |
| g05pcc | Generates a realisation of a multivariate time series from a VARMA model |
| g13bac | Multivariate time series, filtering (pre-whitening) by an ARIMA model |
| g13bbc | Multivariate time series, filtering by a transfer function model |
| g13bcc | Multivariate time series, cross-correlations |
| g13bdc | Multivariate time series, preliminary estimation of transfer function model |
| g13bgc | Multivariate time series, update state set for forecasting from multi-input model |
| g13ccc | Multivariate time series, smoothed sample cross spectrum using rectangular, Bartlett, Tukey or Parzen lag window |
| g13cdc | Multivariate time series, smoothed sample cross spectrum using spectral smoothing by the trapezium frequency (Daniell) window |
| g13cec | Multivariate time series, cross amplitude spectrum, squared coherency, bounds, univariate and bivariate (cross) spectra |
| g13cfc | Multivariate time series, gain, phase, bounds, univariate and bivariate (cross) spectra |
| g13cgc | Multivariate time series, noise spectrum, bounds, impulse response function and its standard error |
| g13dbc | Multivariate time series, multiple squared partial autocorrelations |
| g13ddc | Multivariate time series, estimation of VARMA model |
| g13djc | Multivariate time series, forecasts and their standard errors |
| g13dkc | Multivariate time series, updates forecasts and their standard errors |
| g13dlc | Multivariate time series, differences and/or transforms |
| g13dmc | Multivariate time series, sample cross-correlation or cross-covariance matrices |
| g13dnc | Multivariate time series, sample partial lag correlation matrices, χ2 statistics and significance levels |
| g13dpc | Multivariate time series, partial autoregression matrices |
| g13dsc | Multivariate time series, diagnostic checking of residuals, following g13ddc |