Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

multcomp

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 (20)

adevent

Adverse Events Data

cftest

Testing Estimated Coefficients

cholesterol

Cholesterol Reduction Data Set

cld

Set up a compact letter display of all pair-wise comparisons

cml

Chronic Myelogenous Leukemia survival data.

contrMat

Contrast Matrices

detergent

Detergent Durability Data Set

fattyacid

Fatty Acid Content of Bacillus simplex.

glht

General Linear Hypotheses

litter

Litter Weights Data Set

methods

Methods for General Linear Hypotheses

mmm

Simultaneous Inference for Multiple Marginal Models

modelparm

Generic Accessor Function for Model Parameters

mtept

Multiple Endpoints Data

parm

Model Parameters

plot.cld

Plot a cld object

recovery

Recovery Time Data Set

sbp

Systolic Blood Pressure Data

trees513

Frankonian Tree Damage Data

waste

Industrial Waste Data Set

multcomp

Simultaneous Inference in General Parametric Models

v1.4-17
GPL-2
Authors
Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Initial release
2021-04-29

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.