sjstats 0.5.0

New functions

• Added S3-print-method for mwu()-function.
• get_model_pval() to return a tidy data frame (tibble) of model term names, p-values and standard errors from various regression model types.
• se_ybar() to compute standard error of sample mean for mixed models, considering the effect of clustering on the standard error.
• std() and center() to standardize and center variables, supporting the pipe-operator.

Changes to functions

• se now also computes the standard error for intraclass correlation coefficients, as returned by the icc()-function.
• std_beta() now always returns a tidy data frame (tibble) with model term names, standardized estimate, standard error and confidence intervals.
• r2() now also computes alternative omega-squared-statistics, if null model is given.

sjstats 0.4.0

New functions

• inequ_trend to calculate proportional change of absolute and relative inequalities between two status groups for a vector of given prevalence rates.

Changes to functions

• bootstrap is now much more memory efficient due to use of pointers (thanks to Hadley Wickham for the hint).
• boot_ci, boot_se and boot_p now accept multiple variables as input.
• resp_val now also applies to models fitted with nlme::lme.