R: Tools for Analyzing Mixed Effect Regression Models

# Tools for Analyzing Mixed Effect Regression Models

## Documentation for package ‘merTools’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

averageObs | Find the average observation for a merMod object
bglmerModList | Apply a multilevel model to a list of data frames
blmerModList | Apply a multilevel model to a list of data frames
collapseFrame | Collapse a dataframe to a single average row
draw | Draw a single observation out of an object matching some criteria
draw.merMod | Draw a single observation out of an object matching some criteria
expectedRank | Calculate the expected rank of random coefficients that account for uncertainty.
famlink | Find link function family
fastdisp | fastdisp: faster display of model summaries
fastdisp.merMod | fastdisp: faster display of model summaries
fastdisp.merModList | fastdisp: faster display of model summaries
FEsim | Simulate fixed effects from merMod 'FEsim' simulates fixed effects from merMod object posterior distributions
fetch.merMod.msgs | Extract all warning msgs from a merMod object
findFormFuns | 'findFormFuns' used by averageObs to calculate proper averages
fixef.merModList | Extract fixed-effects estimates for a merModList
glmerModList | Apply a multilevel model to a list of data frames
hasWeights | Identify if a merMod has weights
hsb | A subset of data from the 1982 High School and Beyond survey used as examples for HLM software
ICC | Calculate the intraclass correlation using mixed effect models
lmerModList | Apply a multilevel model to a list of data frames
merModList | merModList S3 Class
merModList-class | merModList S3 Class
modelFixedEff | Extract averaged fixed effect parameters across a list of merMod objects
modelInfo | Extract model information from a merMod
modelRandEffStats | Extract data.frame of random effect statistics from merMod List
plotFEsim | Plot the results of a simulation of the fixed effects
plotREimpact | Plot the impact of grouping-factor levels on predictions
plotREsim | Plot the results of a simulation of the random effects
plot_sim_error_chks | Extract all warning msgs from a merMod object
predictInterval | Predict from merMod objects with a prediction interval
print.merModList | Summarize a merMod list
print.summary.merModList | Print the summary of a merMod list
randomObs | Select a random observation from model data
ranef.merModList | Extract random-effects estimates for a merModList
REcorrExtract | Extract the correlations between the slopes and the intercepts from a model
REextract | Extracts random effects
REimpact | Calculate the weighted mean of fitted values for various levels of random effect terms.
REmargins | Calculate the predicted value for each observation across the distribution of the random effect terms.
REquantile | Identify group level associated with RE quantile
REsdExtract | Extract the standard deviation of the random effects from a merMod object
REsim | Simulate random effects from merMod 'REsim' simulates random effects from merMod object posterior distributions
RMSE.merMod | Estimate the Root Mean Squared Error (RMSE) for a lmerMod
sanitizeNames | Clean up variable names in data frames
setup_parallel | Set up parallel environment
shinyMer | Launch a shiny app to explore your merMod interactively
shuffle | Randomly reorder a dataframe
simulate_random_effects | Simulate random‑effect contributions for all grouping factors
stripAttributes | Remove attributes from a data.frame
subBoot | Bootstrap a subset of an lme4 model
subsetList | Subset a data.frame using a list of conditions
summary.merModList | Print the results of a merMod list
superFactor | Create a factor with unobserved levels
thetaExtract | Extract theta parameters from a merMod model
VarCorr.merModList | Extract the variances and correlations for random effects from a merMod list
wiggle | Assign an observation to different values