R-cran-pbkrtest-0.4.7_1.txz


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Description

R-cran-pbkrtest - Parametric bootstrap and Kenward-Roger-based methods for mixed model comparison

Property Value
Distribution FreeBSD 10
Repository FreeBSD Ports Latest amd64
Package name R-cran-pbkrtest
Package version 0.4.7
Package release 1
Package architecture amd64
Package type txz
Installed size 283.82 KB
Download size 249.82 KB
Official Mirror pkg.freebsd.org
Test in linear mixed effects models. Attention is on linear mixed
effects models as implemented in the lme4 package. The package
implements a parametric bootstrap test. The package implements a
Kenward-Roger modification of F-tests.
WWW: https://cran.r-project.org/web/packages/pbkrtest/
Categories: math
Maintainer: tota@FreeBSD.org

Alternatives

Package Version Architecture Repository
R-cran-pbkrtest-0.4.7_1.txz 0.4.7 i386 FreeBSD Ports Latest
R-cran-pbkrtest-0.4.7_1.txz 0.4.7 amd64 FreeBSD Ports Quarterly
R-cran-pbkrtest-0.4.7_1.txz 0.4.7 i386 FreeBSD Ports Quarterly
R-cran-pbkrtest - - -

Requires

Name Value
R = 3.5.1_1
R-cran-lme4 = 1.1.17

Download

Type URL
Binary Package R-cran-pbkrtest-0.4.7_1.txz
Source Package math/R-cran-pbkrtest

Install Howto

Install the R-cran-pbkrtest txz package:

# pkg install R-cran-pbkrtest

See Also

Package Description
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R-cran-pixmap-0.4.11_11.txz Bitmap Images ("Pixel Maps")
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R-cran-pkgmaker-0.27.txz Package development utilities
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R-cran-plogr-0.2.0.txz Plog C++ Logging Library
R-cran-pls-2.7.0.txz Partial Least Squares and Principal Component Regression
R-cran-plyr-1.8.4_2.txz Tools for splitting, applying, and combining data
R-cran-png-0.1.7_5.txz Read and write PNG images
R-cran-polynom-1.3.9.txz Functions to Implement a Class for Univariate Polynomial Manipulations
R-cran-praise-1.0.0_1.txz Praise Users
R-cran-prodlim-1.6.1_1.txz Product-Limit Estimation for Censored Event History Analysis
R-cran-promises-1.0.1.txz Abstractions for Promise-Based Asynchronous Programming
R-cran-proto-1.0.0_1.txz Prototype object-based programming
R-cran-psych-1.2.1_9.txz Psych package for the R project
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