Package: lmerTest
Type: Package
Title: Tests in Linear Mixed Effects Models
Version: 2.0-32
Authors@R: c(person("Alexandra", "Kuznetsova", role = c("aut", "cre"),
email = "alku@dtu.dk"),
person("Per", "Bruun Brockhoff", role = c("aut", "ths")),
person("Rune", "Haubo Bojesen Christensen", role = "aut"))
Maintainer: Alexandra Kuznetsova <alku@dtu.dk>
Depends: R (>= 3.0.0), Matrix, stats, methods, lme4 (>= 1.0)
Imports: plyr, MASS, Hmisc, ggplot2
Suggests: pbkrtest, nlme, estimability
Description: Different kinds of tests for linear mixed effects models as implemented
in 'lme4' package are provided. The tests comprise types I - III F tests
for fixed effects, LR tests for random effects.
The package also provides the calculation of population means for fixed factors
with confidence intervals and corresponding plots. Finally the backward
elimination of non-significant effects is implemented.
LazyData: TRUE
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2016-06-22 20:22:12 UTC; alku
Author: Alexandra Kuznetsova [aut, cre],
Per Bruun Brockhoff [aut, ths],
Rune Haubo Bojesen Christensen [aut]
Date/Publication: 2016-06-23 00:47:10
Package: longpower
Type: Package
Title: Sample Size Calculations for Longitudinal Data
Version: 1.0-15
Date: 2016-05-16
Author: Michael C. Donohue, Anthony C. Gamst, Steven D. Edland
Maintainer: Michael C. Donohue <mdonohue@usc.edu>
Description: The longpower package contains functions for computing
power and sample size for linear models of longitudinal data
based on the formula due to Liu and Liang (1997) and Diggle et
al (2002). Either formula is expressed in terms of marginal
model or Generalized Estimating Equations (GEE) parameters.
This package contains functions which translate pilot mixed
effect model parameters (e.g. random intercept and/or slope)
into marginal model parameters so that the formulas of Diggle
et al or Liu and Liang formula can be applied to produce sample
size calculations for two sample longitudinal designs assuming
known variance.
License: GPL (>= 2)
Depends: R (>= 3.0.0), lme4 (>= 1.0), nlme
Suggests: knitr, gee, testthat, methods
LazyLoad: yes
VignetteBuilder: knitr
URL: https://bitbucket.org/mdonohue/longpower
Collate: 'longpower-package.R' 'diggle.linear.power.R'
'edland.linear.power.R' 'liu.liang.linear.power.R' 'lmmpower.R'
'power_mmrm.R' 'print.power.longtest.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 23:30:00 UTC; mdonohue
Repository: CRAN
Date/Publication: 2016-05-18 01:31:14
Package: mixAK
Version: 4.2
Date: 2015-08-01
Title: Multivariate Normal Mixture Models and Mixtures of Generalized
Linear Mixed Models Including Model Based Clustering
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Depends: R (>= 3.0.0), colorspace, lme4 (>= 1.0)
Imports: graphics, stats, splines, fastGHQuad, mnormt, parallel, coda
Description: Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.
Encoding: UTF-8
License: GPL (>= 3)
URL: http://msekce.karlin.mff.cuni.cz/~komarek
NeedsCompilation: yes
Packaged: 2015-08-01 21:12:19 UTC; komarek
Repository: CRAN
Date/Publication: 2015-08-02 08:23:15
Package: mlmRev
Version: 1.0-6
Date: 2014-03-11
Title: Examples from Multilevel Modelling Software Review
Author: Douglas Bates <bates@stat.wisc.edu>,
Martin Maechler <maechler@R-project.org> and
Ben Bolker <bolker@mcmaster.ca>
Contact: LME4 Authors <lme4-authors@lists.r-forge.r-project.org>
Maintainer: Steve Walker <steve.walker@utoronto.ca>
Description: Data and examples from a multilevel modelling software review
as well as other well-known data sets from the multilevel modelling
literature.
Depends: lme4, R (>= 2.10)
Suggests: lattice
LazyData: yes
License: GPL (>= 2)
Packaged: 2014-03-11 14:11:54 UTC; stevenwalker
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-11 16:41:16
Package: nonrandom
Type: Package
Title: Stratification and matching by the propensity score
Version: 1.42
Date: 2014-04-04
Author: Susanne Stampf [cre, aut]
Authors@R: c(person("Susanne","Stampf", role=c("cre","aut"), email = "susanne.stampf@usb.ch"))
Maintainer: Susanne Stampf <susanne.stampf@usb.ch>
Description: This package offers a comprehensive data analysis if
stratification and matching by the propensity score is done.
Several functions are implemented, starting from the selection
of the propensity score model up to estimating propensity score
based treatment or exposure effects. All functions can be
applied separately as well as combined.
Depends: lme4
Suggests: colorspace
License: GPL
LazyLoad: yes
LazyData: yes
BuildVignettes: yes
NeedsCompilation: no
Packaged: 2014-04-04 08:39:52 UTC; jo
Repository: CRAN
Date/Publication: 2014-04-05 08:06:21
Package: marked
Version: 1.1.11
Date: 2016-3-7
Title: Mark-Recapture Analysis for Survival and Abundance Estimation
Author: Jeff Laake <jeff.laake@noaa.gov>, Devin Johnson
<devin.johnson@noaa.gov>, Paul Conn <paul.conn@noaa.gov>
Maintainer: Jeff Laake <Jeff.Laake@noaa.gov>
Description: Functions for fitting various models to capture-recapture data
including fixed and mixed-effects Cormack-Jolly-Seber(CJS) for survival
estimation and POPAN structured Jolly-Seber models for abundance
estimation. Includes a CJS models that concurrently estimates and corrects
for tag loss. Hidden Markov model (HMM) implementations of CJS and
multistate models with and without state uncertainty.
Depends: R (>= 2.15.0), lme4, methods, parallel
Imports: graphics, stats, utils, R2admb, truncnorm, coda, Matrix, numDeriv, expm, Rcpp (>= 0.9.13), optimx (>= 2013.8.6)
Suggests: ggplot2
LinkingTo: Rcpp
SystemRequirements: ADMB version 11 (http://admb-project.org/) for
use.admb=TRUE; see readme.txt
LazyLoad: yes
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-07 18:50:53 UTC; JLaake
Repository: CRAN
Date/Publication: 2016-03-07 22:31:49
Package: MEMSS
Version: 0.9-2
Date: $Date: 2014-03-11 10:05:29 -0400 (Tue, 11 Mar 2014) $
Title: Data sets from Mixed-effects Models in S
Author: Douglas Bates <bates@stat.wisc.edu>,
Martin Maechler <maechler@R-project.org> and
Ben Bolker <bbolker@gmail.com>
Contact: LME4 Authors <lme4-authors@lists.r-forge.r-project.org>
Maintainer: Steve Walker <steve.walker@utoronto.ca>
Description: Data sets and sample analyses from Pinheiro and Bates,
"Mixed-effects Models in S and S-PLUS" (Springer, 2000).
Depends: R (>= 2.12.0), lme4 (>= 0.999375-36)
Suggests: lattice
LazyData: yes
License: GPL (>= 2)
Packaged: 2014-03-11 16:22:27 UTC; stevenwalker
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-11 17:38:07
providing 
.