M Index Page
Keyword Index for the NAG Library Manual
NAG Library Manual

Keyword : Model

G02DAF   Fits a general (multiple) linear regression model
G02DCF   Add/delete an observation to/from a general linear regression model
G02DDF   Estimates of linear parameters and general linear regression model from updated model
G02DEF   Add a new independent variable to a general linear regression model
G02DFF   Delete an independent variable from a general linear regression model
G02DGF   Fits a general linear regression model to new dependent variable
G02DKF   Estimates and standard errors of parameters of a general linear regression model for given constraints
G02DNF   Computes estimable function of a general linear regression model and its standard error
G02EEF   Fits a linear regression model by forward selection
G02GAF   Fits a generalized linear model with Normal errors
G02GBF   Fits a generalized linear model with binomial errors
G02GCF   Fits a generalized linear model with Poisson errors
G02GDF   Fits a generalized linear model with gamma errors
G02GKF   Estimates and standard errors of parameters of a general linear model for given constraints
G02GNF   Computes estimable function of a generalized linear model and its standard error
G02GPF   Computes a predicted value and its associated standard error based on a previously fitted generalized linear model
G03CAF   Computes maximum likelihood estimates of the parameters of a factor analysis model, factor loadings, communalities and residual correlations
G11SAF   Contingency table, latent variable model for binary data
G12BAF   Fits Cox's proportional hazard model
G12ZAF   Creates the risk sets associated with the Cox proportional hazards model for fixed covariates
G13ADF   Univariate time series, preliminary estimation, seasonal ARIMA model
G13AEF   Univariate time series, estimation, seasonal ARIMA model (comprehensive)
G13AFF   Univariate time series, estimation, seasonal ARIMA model (easy-to-use)
G13AJF   Univariate time series, state set and forecasts, from fully specified seasonal ARIMA model
G13BAF   Multivariate time series, filtering (pre-whitening) by an ARIMA model
G13BBF   Multivariate time series, filtering by a transfer function model
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
G13DDF   Multivariate time series, estimation of VARMA model
X02AKF   The smallest positive model number
X02ALF   The largest positive model number
X02BHF   The floating point model parameter, b
X02BJF   The floating point model parameter, p
X02BKF   The floating point model parameter emin
X02BLF   The floating point model parameter emax

M Index Page
Keyword Index for the NAG Library Manual
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford UK. 2013