OPSR 1.0.0
print.summary.opsr()
now shows GOF indicators.
- Added
timeuse_data
from the TimeUse+ study.
extract.opsr()
: R2 for each regime in
texreg
functions (and don’t repeat GOFs if
beside = TRUE
).
- Nicer summary printing and setting fixed values in null model to
NA
.
- Added
.loglik
arg to opsr()
to return
log-likelihood vector.
- Detects and warns on singularity issues.
- Resolved memory leak.
- Corrected outcome-specific R2 computations.
- Added
type = "Xb"
and type = "correction"
in predict.opsr()
.
- Works for only 2 treatment regimes (i.e., the Tobit-5 model).
- Smoothing constant (used in continuity correction) can be passed to
predict.opsr()
via delta
arg.
- Added
opsr_te()
for treatment effect computations.
- Added
plot()
method for treatment effect
visualization.
- Improved
predict()
’s argument argument checking and
error messages as well as the man pages.
- Passing the null model as sole argument to
anova()
will
raise an error.
- Added vignette corresponding to the JSS submission.
OPSR 0.1.2
- Patch with minor updates on documentation.
OPSR 0.1.1
- Patch with missing links.
OPSR 0.1.0