Model Selection in Multivariate Longitudinal Data Analysis
An efficient Gibbs sampling algorithm is developed for Bayesian multivariate longitudinal data analysis with the focus on selection of important elements in the generalized autoregressive matrix. It provides posterior samples and estimates of parameters. In addition, estimates of several information criteria such as Akaike information criterion (AIC), Bayesian information criterion (BIC), deviance information criterion (DIC) and prediction accuracy such as the marginal predictive likelihood (MPL) and the mean squared prediction error (MSPE) are provided for model selection.

Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

c(person("Francis", "Huang",
role = c('aut', 'cre'),
email = "flhuang2000@yahoo.com"))
Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' (2002) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

Multiplex Ligation-Dependent Probe Amplification Data Analysis
c(
person("Sylvain", "Mareschal", role=c("aut", "cre"), email="maressyl@gmail.com"),
person("Philippe", "Ruminy", role=c("dtc", "ctb")),
person(c("Jean","R."), "Lobry", role="ctb"),
person("Fabrice", "Jardin", role="ths")
)
Functions to import Applied Biosystems data files of multiplex ligation-dependent probe amplification (MLPA) analysis and process them. Gene-expression profiling methods are described in Mareschal, Ruminy et al (2015) <doi:10.1016/j.jmoldx.2015.01.007>. Gene-fusion detection methods are described in Mareschal, Palau et al (under review).
graphics, grDevices, stats, utils, R (>= 2.10)
Sylvain Mareschal [aut, cre],
Philippe Ruminy [dtc, ctb],
Jean R. Lobry [ctb],
Fabrice Jardin [ths]