| NEWS | R Documentation |
bartc now accepts a seed argument that yields
reproducible results, even when running with multiple threads
and multiple chains.
New parametric argument to bartc allows for arbitrary
linear and multilevel models. Requires the stan4bart package
to be installed.
Now works with response models in "tmle" and
"p.weight" when p.scoreAsCovariate is FALSE.
Correctly summarizes the number of samples when n.chains = 1.
sumamry now correctly computes variance expansion for PATE with
weighted observations.
summary correctly drops observations from averages when
common support rules are being used. Bug report thanks to Marcela
Veselkova.
predict now accepts as options "mu" and
"y" for when the user-supplied newdata
object already has a valid treatment assignment.
Default type argument for predict is
now "mu".
bartc argument crossvalidateBinary
renamed to crossvalidate. Accepts one of TRUE,
FALSE, "trt", or "rsp". This feature
is experimental and discouraged from use.
Confounder expressions that can evaluate successfully in the calling environment but yield a warning are now treated as if they threw an error.
summary for models fit with group.effects as
TRUE will use the level names of the grouping factor
when reporting the sub-group estimates.
"ite", "sate", "y.0", and
"y.1" for generics now returns correctly.
Report thanks to Bryan Keller.
Confounders can be passed in as literals when using
data argument. This can be of assistance in
using complicated formulae with many variables.
Passing check with tmle version >= 1.5.0.
Fixed effects should now execute correctly.
Initial public release.