| merTools-package | merTools: Provides methods for extracting and exploring results from merMod objects in the lme4 package. |
| 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 |
| 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. |
| fastdisp | Display model fit summary of merMod objects, fast |
| FEsim | Simulate fixed effects from merMod 'FEsim' simulates fixed effects from merMod object posterior distributions |
| merTools | merTools: Provides methods for extracting and exploring results from merMod objects in the lme4 package. |
| plotFEsim | Plot the results of a simulation of the fixed effects |
| plotREsim | Plot the results of a simulation of the random effects |
| predictInterval | Predict from merMod objects with a prediction interval |
| randomObs | Select a random observation from model data |
| REextract | Extracts random effects |
| REimpact | Calculate the weighted mean of fitted values for various levels of random effect terms. |
| REquantile | Identify group level associated with RE quantile |
| 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 |
| shinyMer | Launch a shiny app to explore your merMod interactively |
| shuffle | Randomly reorder a dataframe |
| 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 |
| superFactor | Create a factor with unobserved levels |
| thetaExtract | Extract theta parameters from a merMod model |
| wiggle | Assign an observation to different values |