NEWS.md

In nrba: Methods for Conducting Nonresponse Bias Analysis (NRBA)

nrba 0.3.1

• Increased version number for CRAN re-submission.

nrba 0.3.0

• Added a new analysis, assess_range_of_bias(), which allows users to assess the range of potential bias based on assumptions about how nonrespondents differ from respondents.

nrba 0.2.0

• The regression analysis types (predict_response_status_via_glm() and predict_outcome_via_glm()) now invisibly return an attribute named reference_levels. It can be retrieved using attr(x, 'reference_levels'). This is a data frame which lists, for each categorical predictor, the category used as a reference level in the regression. It is mainly useful for supporting the idcnrba package.

• Minor updates:

• The chisq_test_ind_response() function now returns an informative error if you do not supply any variables to the aux_vars argument. Previously it returned a data frame with zero rows and columns.

• Minor code updates required to keep up with new dplyr deprecations and new warnings in *_join() functions.

• Added a variable CONTACT_ATTEMPTS to the example datasets, for use in level of effort analysis.

• Made the involvement survey data examples more realistic by setting values of the outcome (WHETHER_PARENT_AGREES) equal to NA for all cases whose response status isn't equal to "Respondent".

• Simplified the involvement_survey_str2s dataset by removing columns of jackknife and bootstrap replicate weights.

nrba 0.1.0

• Initial version of the package. This package is still undergoing active development, so please be prepared for potential breaking changes until version 1.0 of the package is released.

nrba documentation built on Nov. 21, 2023, 9:07 a.m.