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
Clean formula
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
Predict from merMod objects with a prediction interval
Remove attributes from a data.frame