Rmetrics - Regression Based Decision and Prediction
R (>= 2.2.0), methods, mgcv, nnet, polspline, fTrading, fMultivar

R (>= 2.4.0), methods, mgcv, nnet, polspline, fTrading, fMultivar

R (>= 2.4.0), methods, mgcv, nnet, polspline, fBasics, fTrading, fMultivar

R (>= 2.4.0), fBasics, fTrading, fMultivar, nnet, mgcv

R (>= 2.4.0), fBasics, fTrading, fMultivar, mgcv, nnet

A collection of functions for linear and non-linear regression modelling.
It implements a wrapper for several regression models available in the base and
contributed packages of R.
lmtest, mgcv, nnet, polspline, methods, stats, utils

A collection of functions for linear and non-linear regression
modelling. It implements a wrapper for several regression models available
in the base and contributed packages of R.
fBasics, lmtest, MASS, methods, mgcv, nnet, polspline, stats,
timeDate, timeSeries, utils

Social Relations Analyses with roles ("Family SRM")
The package computes Social Relations Analysis with roles ("Family
SRM"), using a structural equation modeling approach. Groups ranging from
three members up to an unlimited number of members are supported and the
mean structure can be computed. Means and variances can be compared between
different groups.

The package computes Social Relations Analysis with roles ("Family
SRM"), using a structural equation modeling approach. Groups ranging from
three members up to an unlimited number of members are supported and the
mean structure can be computed. Means and variances can be compared between
different groups of families and between roles.

Social Relations Analyses With Roles ("Family SRM")
Social Relations Analysis with roles ("Family
SRM") are computed, using a structural equation modeling approach. Groups ranging from
three members up to an unlimited number of members are supported and the
mean structure can be computed. Means and variances can be compared between
different groups of families and between roles.
plyr, reshape2, ggplot2, grid, scales, foreign, tcltk, tcltk2,
gridExtra