Predicted Means for Linear and Semiparametric Models

Documentation for package ‘predictmeans’ version 1.1.0

predictmeans-package	Predicted Means for Linear and Semiparametric Models
ATP	'ATP' containing data
ci_mcp	Multiple Comparisons Based on the Confidence Intervals
Clinical	'Clinical' data
contrastmeans	Linear Contrast Tests for a Linear Model
CookD	Calculates and plots Cook's distances for a Linear (Mixed) Model
covariatemeans	Predicted Means of a Linear Model with Covariate Variable(s)
df_term	Calculate degree of freedom of a modelterm (contrast) for a lmer model
Drug	'Drug' data
Kmatrix	Matrix of Coefficients in a Linear Model
permanova.lmer	Permutation ANOVA for 'lmer' Model
permindex	Permutation Index
permlmer	Permutation Test of random or fixed effects for 'lmer' model.
permmodels	Permutation Test of Linear Model
PMplot	Level Plot of a Matrix of p-values.
predictmeans	Predicted Means of a Linear Model
R2_glmm	An adjusted coefficient of determination (R2) for generalized linear mixed models
residplot	Diagnostic Plots for a Linear (Mixed) Model
semipred	Predicted Means of a Semi Paramatric Model with Covariate Variable(s)
semireg	Fitting Semi Parametric Models Using lme4 Ecosystem
semireg_tmb	Fitting Semi Parametric Models Using glmmTMB
se_ranef	Extract Standard Errors of Model Random Effects
smZ	Generate Sparse Matrix Z for penalized spline smoothing
varcomp	Calculate SE and CI of variance components for 'lmer', 'glmer', 'lme', 'glmmTMB' model