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vcov in the merDeriv packageaes_string() calls (#127)broom to broom.mixed because of upstream package reorganizationaverageObs could not be calculated when model weights were specified in the original model (closes #110)subBoot now works with glmerMod objects as wellreMargins a new function that allows the user to marginalize the prediction over breaks in the distribution of random effect distributions, see ?reMargins and the new reMargins vignette (closes #73)merModLists is now supported using the future.apply package and the future_lapply functions, optionallySuggests fieldpredictInterval() would return a data.frame of the wrong dimensions when predicting a single row of observations for a glmrstanarm dependencies in the package vignettedontrun to donttest for long-running examples (CRAN compliance)merModList objects (#92)merModList functions now apply the Rubin correction for multiple imputationfixef and ranef generics for merModList objectsfastdisp generic for merModListsummary generic for merModListprint generic for merModListmerModList including examples and a new imputation vignettemodelInfo generic for merMod objects that provides simple summary stats about a whole modelstd.error of a multiply imputed merModList when calling modelRandEffStatsREimpact where some column names in newdata would prevent the prediction intervals from being computed correctly. Users will now be warned.wiggle where documentation incorrectly stated the arguments to the function and the documentation did not describe function correctlyreadme.rmd to package graphics with the R package, per CRANmerMod has functions specified in the formula, the draw and wiggle functions will check for this and attempt to respect these variable transformations. Where this is not possible a warning will be issued. Most common transformations are respected as long as the the original variable is passed untransformed to the model.predictInterval that allows the user to return the full interval, the fixed component, the random component, or the fixed and each random component separately for each observationrstanarm to the VignetteexpectedRank output more tidy like and allow function to calculate expected rank for all terms at once
plyr and replace with dplyrvarList will now throw an error if == is used instead of =predictInterval did not included random effects in calculations when newdata had more than 1000 rows and/or user specified parallel=TRUE. Note: fix was to disable the .paropts option for predictInterval … user can still specify for temporary backward compatibility but this should be either removed or fixed in the permanent solution.predictInterval when only specific levels of a grouping factor are in newdata with the colon specification of interactionslme4 to ensure compatibility with latest changes.dplyr tbl and tbl_df objects to data.frames when they are passed to predictInterval and issue a warningnewdata in predictInterval before failing if coercion is unsuccessfulpredictInterval which includes better handling of large numbers of parameters and simulations, performance tweaks for added speed (~10x), and parallel backend support (currently not optimized)probit models and limited support for other glmm link functions, with warning (still do not know how to handle sigma parameter for these)blmer objects from the blme packagemerModList object for lists of merMod objects fitted to subsets of a dataset, useful for imputation or for working with extremely large datasetsprint method for merModList to mimic output of summary.merModVarCorr method for merModListn.sims for the predictInterval function from 100 to 1,000 to give better coverage and reflect performance increaselevel in predictInterval to be 0.8 instead of 0.95 to reflect that 0.95 prediction intervals are more conservative than most users needpredictInterval to allow prediction intervals from glmer and lmer objectsFEsim and REsim to extract distributions of model parametersshinyMer an interactive shiny application for exploring lmer and glmer modelsexpectedRank function to interpret the ordering of effectsREimpact to simulate the impact of grouping factors on the outcomedraw function to allow user to explore a specific observationwiggle function for user to build a simulated set of counterfactual cases to exploreThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.