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predictmeans (version 1.1.1)

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, adjusted R-square and graphs.

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Version

Install

install.packages('predictmeans')

Monthly Downloads

759

Version

1.1.1

License

GPL (>= 2)

Maintainer

Dongwen Luo

Last Published

November 29th, 2024

Functions in predictmeans (1.1.1)

df_term

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

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

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

Generate Sparse Matrix Z for penalized spline smoothing
predictmeans

Predicted Means of a Linear Model
varcomp

Calculate SE and CI of variance components for lmer, glmer, lme model
residplot

Diagnostic Plots for a Linear (Mixed) Model
semipred

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

Extract Standard Errors of Model Random Effects
semireg

Fitting Semi Parametric Models Using lme4 Ecosystem
semireg_tmb

Fitting Semi Parametric Models Using glmmTMB
R2_glmm

An adjusted coefficient of determination (R2) for generalized linear mixed models
PMplot

Level Plot of a Matrix of p-values.
ATP

ATP containing data
CookD

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

Matrix of Coefficients in a Linear Model
Clinical

Clinical data
contrastmeans

Linear Contrast Tests for a Linear Model
ci_mcp

Multiple Comparisons Based on the Confidence Intervals
Drug

Drug data
permmodels

Permutation Test of Linear Model
predictmeans-package

Predicted Means for Linear and Semiparametric Models
permanova.lmer

Permutation ANOVA for lmer Model
permindex

Permutation Index