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

• Initial CRAN submission.