Learn R Programming

⚠️There's a newer version (0.6.2) of this package.Take me there.

merTools (version 0.1.0)

Tools for Analyzing Mixed Effect Regression Models

Description

Provides methods for extracting results from merMod objects in the lme4 package. Allows construction of prediction intervals efficiently from large scale LMM and GLMM models.

Copy Link

Version

Install

install.packages('merTools')

Monthly Downloads

4,381

Version

0.1.0

License

GPL (>= 2)

Maintainer

Jared Knowles

Last Published

August 12th, 2015

Functions in merTools (0.1.0)

Estimate the Root Mean Squared Error (RMSE) for a lmerMod

Simulate fixed effects from merMod FEsim simulates fixed effects from merMod object posterior distributions

Bootstrap a subset of an lme4 model

Plot the results of a simulation of the fixed effects

Find the average observation for a merMod object

Clean up variable names in data frames

Plot the results of a simulation of the random effects

Calculate the expected rank of random coefficients that account for uncertainty.

Select a random observation from model data

Assign an observation to different values

Display model fit summary of merMod objects, fast

Extract theta parameters from a merMod model

Identify group level associated with RE quantile

Randomly reorder a dataframe

Extracts random effects

Draw a single observation out of an object matching some criteria

Subset a data.frame using a list of conditions

Collapse a dataframe to a single average row

Calculate the weighted mean of fitted values for various levels of random effect terms.

merTools: Provides methods for extracting and exploring results from merMod objects in the lme4 package.

Launch a shiny app to explore your merMod interactively

Create a factor with unobserved levels

Simulate random effects from merMod REsim simulates random effects from merMod object posterior distributions

predictInterval

Predict from merMod objects with a prediction interval

stripAttributes

Remove attributes from a data.frame