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ipd 0.1.3

  • Added a NEWS.md file to track changes to the package.

  • Added a pkgdown site for the package.

  • ipd() now allows for regression through the origin with intercept = FALSE argument.

  • ipd() now takes an additional argument, na_action, to handle missing covariate data.

    • Currently supports "na.fail" and "na.omit". Defaults to na.fail.

    • Provides a more informative error message and lists which covariates are missing observations.

  • ipd() now takes an additional argument, n_t, which denotes the (optional) size of the training set used to generate the prediction rule. Defaults to Inf but is necessary for the postpi_X methods if n_t < n, N, the number of labeled and unlabeled observations, respectively, in the data being analyzed.