# 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`

.