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.
|Author||Dongwen Luo, Siva Ganesh and John Koolaard|
|Date of publication||2014-09-22 14:14:24|
|Maintainer||Dongwen Luo <email@example.com>|
|License||GPL (>= 2)|
contrastmeans: Linear Contrast Tests for a Linear Model
CookD: Calculates and plots Cook's distances for a Linear (Mixed)...
covariatemeans: Predicted Means of a Linear Model with Covariate Variable(s)
Kmatrix: Matrix of Coefficients in a Linear Model
permindex: Permutation Index
permmodels: Permutation Test of Linear Model
PMplot: Level Plot of a Matrix of p-values.
predictmeans: Predicted Means of a Linear Model
predictmeans-package: Calculate Predicted Means for Linear Models
residplot: Diagnostic Plots for a Linear (Mixed) Model