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print.summary.opsr()
now shows GOF indicators.timeuse_data
from the TimeUse+ study.extract.opsr()
: R2 for each regime in
texreg
functions (and don’t repeat GOFs if
beside = TRUE
).NA
..loglik
arg to opsr()
to return
log-likelihood vector.type = "Xb"
and type = "correction"
in predict.opsr()
.predict.opsr()
via delta
arg.opsr_te()
for treatment effect computations.plot()
method for treatment effect
visualization.predict()
’s argument argument checking and
error messages as well as the man pages.anova()
will
raise an error.These 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.
Health stats visible at Monitor.