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predictmeans (version 1.0.9)

Predicted Means for Linear and Semiparametric Models

Description

Providing functions to diagnose and make inferences from various linear models, such as those obtained from 'aov', 'lm', 'glm', 'gls', 'lme', 'lmer', 'glmmTMB' and 'semireg'. 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

641

Version

1.0.9

License

GPL (>= 2)

Maintainer

Dongwen Luo

Last Published

October 20th, 2023

Functions in predictmeans (1.0.9)

Kmatrix

Matrix of Coefficients in a Linear Model
CookD

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

Drug data
Clinical

Clinical data
covariatemeans

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

ATP containing data
df_term

Calculate degree of freedom of a modelterm (contrast) for a lmer model
semipred

Predicted Means of a Semi Paramatric Model with Covariate Variable(s)
residplot

Diagnostic Plots for a Linear (Mixed) Model
permlmer

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

Permutation Test of Linear Model
predictmeans-package

Predicted Means for Linear and Semiparametric Models
smZ

Generate Sparse Matrix Z for penalized spline smoothing
semireg

Fitting Semi Parametric Models Using lme4 Ecosystem
predictmeans

Predicted Means of a Linear Model
varcomp

Calculate SE and CI of variance components for lmer or lme model
permanova.lmer

Permutation ANOVA for lmer Model
permindex

Permutation Index
PMplot

Level Plot of a Matrix of p-values.
contrastmeans

Linear Contrast Tests for a Linear Model
ci_mcp

Multiple Comparisons Based on the Confidence Intervals