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varComp (version 0.2-0)

Variance Component Models

Description

Variance component models: REML estimation, testing fixed effect contrasts through Satterthwaite or Kenward-Roger methods, testing the nullity of variance components through (linear or quadratic) score tests or likelihood ratio tests.

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Version

Install

install.packages('varComp')

Monthly Downloads

53

Version

0.2-0

License

GPL-3

Maintainer

Last Published

July 9th, 2017

Functions in varComp (0.2-0)

kernels

Kernel functions useful for genetic associations
logLik.varComp

Extracting Profiled Restricted Log Likelihood
Wald

Wald-type tests for fixed effect parameters
anova.varComp

ANOVA-type analysis of fixed effect parameters
Chi-bar-square

Chi-bar-square distribution with nonnegativity cone constraints
cholRoot

Lower Cholesky Root
get.seed

Recording pseudo-random number seeds
is.formula

Check if an object is a formula
coef.varComp

Obtaining parameter estimates from a varComp object
Internal formula manipulation

Internal formula term manipulation functions
print.varComp

Summary and printing of varComp objects
print.varComp.test

Print variance component test results
minque

Minimum norm quadratic unbiased estimation
model.matrix.varComp

Extracting model matrices
varComp

Fitting variance component models
varComp.control

Functions controlling the model fitting of varComp
normalizeTrace

Rescales a square matrix such that the trace is the same as the dimension
p.value.varComp.test

Extracting p-values
vcov.varComp

Extracting Variance-Covariance Matrices
safeseq

A ``safer'' seq
symbols

Some symbols that might be used in formulas
Not Implemented Functions

Not-yet-implemented functions
varComp-package

Variance Component Models
defunct Functions

Defunct functions
internals

Internal functions not supposed to be called directly
varComp.test

Tests for Nullity of Variance Components
varCompTest.control

Control of variance component testing