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OPSR 1.0.0

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@dheimgartner dheimgartner released this 07 Jul 13:00
v1.0.0
a8238e2
  • 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.
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