person("Masanao", "Yajima", role =  "ctb", email = "yajima@bu.edu"),

Imports: abind, coda, graphics, grDevices, Hmisc, methods, nlme, utils

Packaged: Fri Jan  9 14:43:27 2009; SUYS

Packaged: Mon Jan 19 05:13:40 2009; rforge

Author: Andrew Gelman <gelman@stat.columbia.edu>, Yu-Sung Su
Jennifer Hill <jh1030@columbia.edu>, Maria Grazia Pittau
<grazia@stat.columbia.edu>, Jouni Kerman <jouni@kerman.com> and

Packaged: Thu Jan 29 01:26:26 2009; SUYS

Packaged: Sun Feb  1 12:11:20 2009; SUYS

Packaged: Fri Feb 20 13:34:44 2009; SUYS

Packaged: Fri Feb 27 05:05:11 2009; rforge

Packaged: Sun Mar  1 01:28:38 2009; SUYS

Packaged: Tue Mar 31 15:25:29 2009; SUYS

Maria Grazia Pittau <grazia@stat.columbia.edu>, Jouni Kerman
<jouni@kerman.com> and Tian Zheng <tzheng@stat.columbia.edu>

Authors@R: c(person("Andrew", "Gelman", role = "aut", email =
"gelman@stat.columbia.edu"), person("Yu-Sung", "Su", role =
c("aut", "cre"), email = "suyusung@tsinghua.edu.cn"),
person("Masanao", "Yajima", role = "ctb", email =
"yajima@stat.ucla.edu"), person("Jennifer", "Hill", role =
"ctb", email = "jennifer.hill@nyu.edu"), person("Maria Grazia",
"Pittau", role = "ctb", email = "grazia@stat.columbia.edu"),
person("Jouni", "Kerman", role = "ctb", email =
"jouni@kerman.com"), person("Tian", "Zheng", role = "ctb",
Author: Andrew Gelman [aut], Yu-Sung Su [aut, cre], Masanao Yajima
[ctb], Jennifer Hill [ctb], Maria Grazia Pittau [ctb], Jouni

email = "tzheng@stat.columbia.edu"), person("Vicent", "Dorie",
role = "ctb", email = "vjd2106@columbia.edu") )
Kerman [ctb], Tian Zheng [ctb] and Vicent Dorie [ctb]
Description: R functions for processing lm, glm, svy.glm, mer and polr

person("Vicent", "Dorie", role =  "ctb", email = "vjd2106@columbia.edu")
Description: R functions for processing lm, glm, svy.glm, merMod and polr outputs.

person("Vicent", "Dorie", role =  "ctb", email = "vjd4@nyu.edu")

Description: R functions for processing 'lm', 'glm', 'svy.glm', 'merMod' and 'polr' outputs.

Title: A Statistical Methodology to Select Covariates in
Authors@R: c(person("Aurelie", "Gueudin", email = "aurelie.gueudin@univ-lorraine.fr", role = c("aut", "cre")),
person("Anne", "Gegout-Petit", email = "anne.gegout-petit@univ-lorraine.fr", role = c("aut")))
Description: Two steps variable selection procedure in a context of high-dimensional dependent data
but few observations. First step is dedicated to eliminate dependence between variables (clustering
of variables, followed by factor analysis inside each cluster).
Second step is a variable selection using by aggregation of adapted methods.
Bastien B., Chakir H., Gegout-Petit A., Muller-Gueudin A., Shi Y.
A statistical methodology to select covariates in high-dimensional data under dependence.
Application to the classification of genetic profiles associated with outcome of a non-small-cell
lung cancer treatment. 2018. <https://hal.archives-ouvertes.fr/hal-01939694>.
Imports: stats, mvtnorm, ClustOfVar, FAMT, graphics, VSURF, glmnet,
anapuce, qvalue, parallel, doParallel, impute, ComplexHeatmap,