Category Documents
NAG/g02dcc
Add/delete an observation to/from a general linear regression model
NAG/g02dfc
Delete an independent variable from a general linear regression model
NAG/g02dac
Fits a general (multiple) linear regression model
NAG/g02dec
Add a new independent variable to a general linear regression model
NAG/g02ddc
Estimates of regression parameters from an updated model
NAG/g02dgc
Fits a general linear regression model to new dependent variable
NAG/g02dkc
Estimates of parameters of a general linear regression model for given constraints
NAG/g02dnc
Estimate of an estimable function for a general linear regression model
NAG/g02fac
Calculates standardized residuals and influence statistics
NAG/g02buc
Computes a weighted sum of squares matrix
NAG/g02btc
Update a weighted sum of squares matrix with a new observation
NAG/g02bwc
Computes a correlation matrix from a sum of squares matrix
NAG/g02bxc
Product-moment correlation, unweighted/weighted correlation and covariance matrix, allows variables to be disregarded
NAG/g02brc
Kendall and/or Spearman non-parametric rank correlation coefficients, allows variables and observations to be selectively disregarded
NAG/g02byc
Computes partial correlation/variance-covariance matrix from correlation/variance-covariance matrix computed by g02bxc (nag_corr_cov)
NAG/g02hlc
Calculates a robust estimation of a correlation matrix, user-supplied weight function plus derivatives
NAG/g02hmc
Calculates a robust estimation of a correlation matrix, user-supplied weight function
NAG/g02hkc
Robust estimation of a correlation matrix, Huber's weight function
NAG/g02cac
Simple linear regression with or without a constant term, data may be weighted
NAG/g02cbc
Simple linear regression confidence intervals for the regression line and individual points
NAG/g02eac
Computes residual sums of squares for all possible linear regressions for a set of independent variables
NAG/g02eec
Fits a linear regression model by forward selection
NAG/g02hdc
Robust regression, compute regression with user-supplied functions and weights
NAG/g02hbc
Robust regression, compute weights for use with g02hdc (nag_robust_m_regsn_user_fn)
NAG/g02hfc
Robust regression, variance-covariance matrix following g02hdc (nag_robust_m_regsn_user_fn)
NAG/g02gac
Fits a generalized linear model with Normal errors
NAG/g02gbc
Fits a generalized linear model with binomial errors
