functions and examples in Sample Size Calculation in
Clinical Research.

Ed Zhang ; Vicky Qian Wu ; Shein-Chung Chow ; Harry G.Zhang
(Quality check) <ed.zhang.jr@gmail.com>

R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size
Calculation in Clinical Research
Functions and Examples in Sample Size Calculation in
Clinical Research.

Trio Model with a Combination of Lasso and Group Lasso
Regularization
Timo Stöcker, Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani
Fit a trio model via penalized maximum likelihood. The model is fit for a path of values of the penalty parameter. This package is based on Noah Simon, et al. (2011) <doi:10.1080/10618600.2012.681250>.

Social Relation Model (SRM) analyses for single round-robin
groups
S.C. Schmukle, F.D. Schoenbrodt and M.D. Back
Social Relation Model (SRM) analysis for a single
Round-Robin group are performed. These analyses are either
based on one manifest variable, one latent construct measured
by two manifest variables, two manifest variables and their
bivariate relations, or two latent constructs each measured by
two manifest variables (in the last case, four Round-Robin
matrices have to be provided)

Social Relation Model (SRM) analyses for single or multiple
round-robin groups
S.C. Schmukle, F.D. Schönbrodt and M.D. Back
Social Relation Model (SRM) analyses for single or
multiple round-robin groups are performed. These analyses are
either based on one manifest variable, one latent construct
measured by two manifest variables, two manifest variables and
their bivariate relations, or two latent constructs each
measured by two manifest variables. Within-group t-tests for
variance components and covariances are provided for single
groups, between-groups t-tests for multiple groups. Preliminary
handling for missing values is provided.

S. C. Schmukle, F. D. Schönbrodt and M. D. Back
Social Relation Model (SRM) analyses for single or
multiple round-robin groups are performed. These analyses are
either based on one manifest variable, one latent construct
measured by two manifest variables, two manifest variables and
their bivariate relations, or two latent constructs each
measured by two manifest variables. Within-group t-tests for
variance components and covariances are provided for single
groups, between-groups t-tests for multiple groups. Handling
for missing values is provided.