OPSR (development version)
OPSR 1.0.1
opsr_simulate() now takes seed argument to
enable reproducibility.plot.opsr() and opsr_te() define
type arg list to behave similarly to
predict.opsr().
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