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+# ipd 0.1.3
+
+* Added a `NEWS.md` file to track changes to 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