Package index • merTools

All functions

FEsim(): Simulate fixed effects from merMod FEsim simulates fixed effects from merMod object posterior distributions
ICC(): Calculate the intraclass correlation using mixed effect models
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
VarCorr(<merModList>): Extract the variances and correlations for random effects from a merMod list
averageObs(): Find the average observation for a merMod object
collapseFrame(): Collapse a dataframe to a single average row
draw(): 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
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
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
merModList-class merModList: merModList S3 Class
lmerModList() blmerModList() glmerModList() bglmerModList(): Apply a multilevel model to a list of data frames
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
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
wiggle(): Assign an observation to different values