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predictmeans (version 0.97)

Calculate Predicted Means for Linear Models

Description

This package provides functions to diagnose and make inferences from various linear models, such as those obtained from 'aov', 'lm', 'glm', 'gls', 'lme', and 'lmer'. Inferences include predicted means and standard errors, contrasts, multiple comparisons, permutation tests and graphs.

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Version

Install

install.packages('predictmeans')

Monthly Downloads

679

Version

0.97

License

GPL (>= 2)

Maintainer

Dongwen Luo

Last Published

July 3rd, 2014

Functions in predictmeans (0.97)

CookD

Calculates and plots Cook's distances for a Linear (Mixed) Model
Kmatrix

Matrix of Coefficients in a Linear Model
permmodels

Permutation Test of Linear Model
covariatemeans

Predicted Means of a Linear Model with Covariate Variable(s)
predictmeans-package

Calculate Predicted Means for Linear Models
PMplot

Level Plot of a Matrix of p-values.
contrastmeans

Linear Contrast Tests for a Linear Model
permindex

Permutation Index
predictmeans

Predicted Means of a Linear Model
residplot

Diagnostic Plots for a Linear (Mixed) Model