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predictmeans (version 1.0.6)

Calculate Predicted Means for Linear Models

Description

Providing 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

735

Version

1.0.6

License

GPL (>= 2)

Maintainer

Dongwen Luo

Last Published

June 9th, 2021

Functions in predictmeans (1.0.6)

Kmatrix

Matrix of Coefficients in a Linear Model
predictmeans

Predicted Means of a Linear Model
predictmeans-package

Calculate Predicted Means for Linear Models
residplot

Diagnostic Plots for a Linear (Mixed) Model
varcomp

Calculate stder and CI of variance components for lmer or lme model
CookD

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

ANOVA of a Linear Mixed Effects Model produced by lmer function
permanova.lmer

Permutation ANOVA for lmer Model
permlmer

Permutation Test of random or fixed effects for lmer model.
permindex

Permutation Index
permmodels

Permutation Test of Linear Model
PMplot

Level Plot of a Matrix of p-values.
contrastmeans

Linear Contrast Tests for a Linear Model
covariatemeans

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