multcomp v1.4-10

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Simultaneous Inference in General Parametric Models

Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).

Functions in multcomp

Name Description
glht-methods Methods for General Linear Hypotheses
adevent Adverse Events Data
cftest Testing Estimated Coefficients
cholesterol Cholesterol Reduction Data Set
modelparm Generic Accessor Function for Model Parameters
cld Set up a compact letter display of all pair-wise comparisons
mtept Multiple Endpoints Data
trees513 Frankonian Tree Damage Data
waste Industrial Waste Data Set
detergent Detergent Durability Data Set
fattyacid Fatty Acid Content of Bacillus simplex.
parm Model Parameters
cml Chronic Myelogenous Leukemia survival data.
plot.cld Plot a cld object
contrMat Contrast Matrices
recovery Recovery Time Data Set
sbp Systolic Blood Pressure Data
glht General Linear Hypotheses
litter Litter Weights Data Set
mmm Simultaneous Inference for Multiple Marginal Models
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Vignettes of multcomp

Name
chfls1.Rnw
chfls1.bib
generalsiminf.Rnw
header.tex
multcomp-examples.Rnw
multcomp.bib
references.bib
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