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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 glm
rstanarm
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 merModList
summary
generic for merModList
print
generic for merModList
merModList
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 modelRandEffStats
REimpact
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 dplyr
varList
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.merMod
VarCorr
method for merModList
n.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.
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