Miscellaneous bug fixes.
This version includes miscellaneous bug fixes, error-handling, and corrections to the documentation.
Wald_test()gains an option fortest = "Naive-Fp", which uses denominator degrees of freedom equal to the number of clusters minus the number of coefficients in the fitted model.coef_test()andconf_int()gain an option fortest = "naive-tp", which uses denominator degrees of freedom equal to the number of clusters minus the number of coefficients in the fitted model.- Corrected a bug in the Satterthwaite degrees of freedom calculations for models that include only an intercept.
- Output of
coef_test()andconf_int()now include a variable containing the coefficient names, so that the results are "tidy." conf_int()now includes an option to report a p-value for each coefficient.coef_test()now reports degrees of freedom fortest = 'z'andtest = 'naive-t'.vcovCR()now provides a more informative error message when the clustering variable is a constant.vcovCR()now handles models estimated using analytic weights, where some weights are equal to zero. Results are consistent with omitting observations with weights of zero.- Added more informative error messages for
Wald_test()andconf_int(), triggered if the test argument does not match any of the available tests. - Corrected a bug in
findCluster.rma.mv(), which threw an error if a random effects factor in the rma.mv model had unobserved levels. - Corrected a bug in
Wald_test(), which threw an error for tests of intercept-only models. - Fixed a minor bug in print method for
Wald_test()results, which threw an error when the p-value was NA.