Software Open Access
equi_test()etc. are now more generic, and function usage for each supported object is now included in the documentation.
print()-methods for some more functions, for a clearer output.
r2()for mixed models (packages lme4, glmmTMB). The r-squared value should be much more precise now, and reports the marginal and conditional r-squared values.
stanmvreg-models are now supported by many functions.
binned_resid()to plot binned residuals for logistic regression models.
error_rate()to compute model quality for logistic regression models.
auto_prior()to quickly create automatically adjusted priors for brms-models.
difficulty()to compute the item difficulty.
Changes to functions
ppd-argument for Stan-models (brmsfit and stanreg), which performs a variance decomposition based on the posterior predictive distribution. This is the recommended way for non-Gaussian models.
icc()now also computes the HDI for the ICC and random-effect variances. Use the
prob-argument to specify the limits of this interval.
model_family()now support clmm-models (package ordinal) and glmRob and lmRob-models (package robust).
multi.resp-argument, to return a list of family-informations for multivariate-response models (of class
multi.resp-argument, to return a list of link-inverse-functions for multivariate-response models (of class
p_value()now supports rlm-models (package MASS).
check_assumptions()for single models with
as.logical = FALSEnow has a nice print-method.
omega_sq()now also work for repeated-measure Anovas, i.e. Anova with error term (requires broom > 0.4.5).
var_names()now correctly cleans nested patterns like
offset(log(x + 10))from column names.
model_frame()now returns proper column names from gamm4 models.
model_frame()did not work when the model frame had spline-terms and weights.
exponentiate = TRUEand
conf.int = FALSE.
reliab_test()returned an error when the provided data frame has less than three columns, instead of returning