Version 0.7.1
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General:
* Package depends on R-version >= 3.3.

Changes to functions:
* `prop()` gets a `digits`-argument to round the return value to a specific number of decimal places.

Version 0.7.0
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General:
* Largely revised the documentation.

New functions:
* `prop()` to calculate proportion of values in a vector.
* `mse()` to calculate the mean square error for models.
* `robust()` to calculate robust standard errors and confidence intervals for regression models, returned as tidy data frame.

Version 0.6.0
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New functions:
* `split_half()` to compute the split-half-reliability of tests or questionnaires.
* `sd_pop()` and `var_pop()` to compute population variance and population standard deviation.

Changes to functions:
* `se()` now also computes the standard error from estimates (regression coefficients) and p-values.

Version 0.5.0
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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.

Version 0.4.0
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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.
* `boot_ci()`, `boot_se()` and `boot_p()` now accept multiple variables as input.
* `resp_val()` now also applies to models fitted with `nlme::lme()`.

Version 0.3.0
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General:
* Removed non-necessary checks for package-availability.

New functions:
* `bootstrap()` to generate bootstrap replicates of data frames.
* `boot_ci()` to compute confidence intervals from bootstrapped values.
* `pred_vars()` to get the names of predictor variables from fitted models.
* `resp_var()` to get the name of the response variable from fitted models.
* `resp_val()` to get the values of the response vector from fitted models.

Version 0.2.0
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New functions:
* Added functions `weight()` and `weight2()` to weight vectors.
* Added functions `wtd_sd()` and `wtd_se()` to compute weighted standard deviations and standard errors.
* Added function `merMod_p()` to compute p-values for merMod-objects.

Changes to functions:
* `r2()` now supports `plm` objects.

Bug fixes:
* Fixed typo in print-method for `icc()`.

Version 0.1.0
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General:
* Initial release on CRAN.