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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.