Identify group level associated with RE quantile
Estimate the Root Mean Squared Error (RMSE) for a lmerMod
Display model fit summary of merMod objects, fast
Calculate the intraclass correlation using mixed effect models
Simulate random effects from merMod
REsim simulates random effects from merMod object posterior distributions
Launch a shiny app to explore your merMod interactively
Utility function to make RE terms objects
Extract the correlations between the slopes and the intercepts from a model
Extract averaged fixed effect parameters across a list of merMod objects
Extract the variances and correlations for random effects from a merMod list
Draw a single observation out of an object matching some criteria
Get names of random effect terms in a model object
Plot the results of a simulation of the random effects
Extracts random effects
Apply a multilevel model to a list of data frames
Parse merMod levels
Extract the standard deviation of the random effects from a merMod object
Bootstrap a subset of an lme4 model
Count the number of random effect terms
Collapse a dataframe to a single average row
Extract theta parameters from a merMod model
Clean formula
Print the results of a merMod list
merTools: Provides methods for extracting and exploring results from merMod
objects in the lme4 package.
Assign an observation to different values
Calculate the weighted mean of fitted values for various levels of
random effect terms.
Parse merMod formulas
Random Effects formula only
Calculate the expected rank of random coefficients that account for
uncertainty.
Create a factor with unobserved levels
Select a random observation from model data
Find the average observation for a merMod object
Clean up variable names in data frames
Simulate fixed effects from merMod
FEsim simulates fixed effects from merMod object posterior distributions
Extract data.frame of random effect statistics from merMod List
Build model matrix
Remove attributes from a data.frame
A subset of data from the 1982 High School and Beyond survey used as examples for HLM software
Subset a data.frame using a list of conditions
Extract model information from a merMod
Plot the results of a simulation of the fixed effects
Randomly reorder a dataframe
Set up parallel environment
Predict from merMod objects with a prediction interval