Title: Joint Mean-Covariance Models using 'Armadillo' and S4
Description: Fit joint mean-covariance models for longitudinal data. The models
and their components are represented using S4 classes and methods. The core
computational algorithms are implemented using the 'Armadillo' C++ library
for numerical linear algebra and 'RcppArmadillo' glue.
Imports: Formula, methods, Rcpp (>= 0.11.6)

Imports: Formula, lattice, methods, Rcpp (>= 0.12.14)

Imports: Formula, methods, Rcpp (>= 0.12.14)

LinkingTo: Rcpp, RcppArmadillo (>= 0.9.900.1.0), roptim

Title: Fitting Joint Mean and Dispersion Effects Models
Maintainer: Ka Yui Karl Wu <karlwuky@suss.edu.sg>
Description: Joint mean and dispersion effects models fit the mean and dispersion parameters of a response variable by two separate linear models, the mean and dispersion submodels, simultaneously. It also allows the users to choose either the deviance or the Pearson residuals as the response variable of the dispersion submodel. Furthermore, the package provides the possibility to nest the submodels in one another, if one of the parameters has significant explanatory power on the other. Wu & Li (2016) <doi:10.1016/j.csda.2016.04.015>.

Maintainer: Ka Yui Karl Wu <kykarlwu@gmail.com>

Title: Joint Mean-Correlation Regression Approach for Discrete
Description: Fit joint mean-correlation models for discrete longitudinal data (Tang CY,Zhang W,
Imports: Formula, methods, minqa, boot, mnormt, MASS, mvtnorm, abind

Author: Weiping Zhang, Yezhen Li, Chengyong Tang
Imports: Formula, methods, minqa, boot, mnormt, MASS, mvtnorm

Title: Fit joint model for event and censoring with cluster-level
Maintainer: Willem M. van der Wal <w.m.vd.wal@umcutrecht.nl>
Description: Fit joint model for event and censoring, with
cluster-level frailties, according to Huang & Wolfe (2002).

Title: Tools for Interacting with 'jMetrik'
Author: J. Patrick Meyer <support@itemanalysis.com>
Maintainer: J. Patrick Meyer <support@itemanalysis.com>
Description: The main purpose of this package is to make it easy for userR's to interact with 'jMetrik' an open source application for psychometric analysis. For example it allows useR's to write data frames to file in a format that can be used by 'jMetrik'. It also allows useR's to read *.jmetrik files (e.g. output from an analysis) for follow-up analysis in R. The *.jmetrik format is a flat file that includes a multiline header and the data as comma separated values. The header includes metadata about the file and one row per variable with the following information in each row: variable name, data type, item scoring, special data codes, and variable label.