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.