person(given = "Martin", family = "Moene",
person(given = "Free Software Foundation, Inc.",
comment = "for snippets from the GNU ISO C++ Library"))
Martin Moene [cph] (for the GSL Lite library),
Microsoft Corporation [cph] (for the GSL Lite library),
Free Software Foundation, Inc. [cph] (for snippets from the GNU ISO C++

person(given = "Ana", family = "Colubi",
selection in ordinary linear regression models.  Either compute all
submodels with the lowest residual sum of squares, or determine the
single-best submodel according to a pre-determined statistical
criterion.  Hofmann, Gatu, Kontoghiorghes, Colubi, Zeileis (2018,

criterion.  Hofmann et al. (2020) <doi:10.18637/jss.v093.i03>.

Description: This package accompanies John Curtin's graduate course in
Packaged: 2011-02-15 01:13:53 UTC; John Curtin

Packaged: 2011-03-11 22:14:33 UTC; John Curtin

Packaged: 2011-04-01 02:26:27 UTC; John Curtin

Description: This package accompanies Markus Brauer and John Curtin's
two course graduate series in the General Linear Model (PSY

Packaged: 2012-10-23 01:28:37 UTC; John Curtin

Description: Accompanies Markus Brauer, Bas Rokers, and John Curtin's two-course graduate series in
Imports: psych, gvlma, AICcmodavg, lme4, pbkrtest

General, Generalized, and Multi-level Linear Models (PSY 610/710).

Description: Provides tools and a consistent interface to support analyses using General, Generalized, and Multi-level Linear Models.
Imports: AICcmodavg, car, gplots, graphics, grDevices, gvlma, lme4,

Description: Accompanies Markus Brauer, Bas Rokers, and John Curtin's two-course
graduate series in General, Generalized, and Multi-level Linear Models (PSY
Imports: psych,gvlma, AICcmodavg, lme4, pbkrtest, grDevices, graphics,

Authors@R: c(person(given = "Mark", family = "de Rooij", role = c("aut", "cre","cph"), email
= "rooijm@fsw.leidenuniv.nl"), person(given = "Frank", family = "Busing", role = c("aut"),
email = "busing@fsw.leidenuniv.nl"), person(given = "Juan", family = "Claramunt Gonzalez",
role = c("ctb"), email = "j.claramunt.gonzalez@fsw.leidenuniv.nl"))
Maintainer: Mark de Rooij <rooijm@fsw.leidenuniv.nl>
Description: Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).
Depends: R (>= 3.5.0), ggplot2, ggrepel, ggforce, tidyverse, dplyr