Methods for Identification of Outliers in Environmental Data (envoutliers)
Three semi-parametric methods for detection of outliers in environmental data based on kernel regression and subsequent analysis of smoothing residuals. The first method (Campulova, Michalek, Mikuska and Bokal (2018) <DOI: 10.1002/cem.2997>) analyzes the residuals using changepoint analysis, the second method is based on control charts (Campulova, Veselik and Michalek (2017) <DOI: 10.1016/j.apr.2017.01.004>) and the third method (Holesovsky, Campulova and Michalek (2018) <DOI: 10.1016/j.apr.2017.06.005>) analyzes the residuals using extreme value theory (Holesovsky, Campulova and Michalek (2018) <DOI: 10.1016/j.apr.2017.06.005>).

Balanced Factorial Designs (designr)
Generate balanced factorial designs with crossed and nested random and fixed effects <https://…/designr>.

Piecewise Smooth Regression by Bootstrapped Binary Segmentation (BinSegBstrap)
Provides methods for piecewise smooth regression. A piecewise smooth signal is estimated by applying a bootstrapped test recursively (binary segmentation approach). Each bootstrapped test decides whether the underlying signal is smooth on the currently considered subsegment or contains at least one further change-point.

Create Regular Expressions Easily (RVerbalExpressions)
Build regular expressions using grammar and functionality inspired by <https://…/VerbalExpressions>. Usage of the %>% is encouraged to build expressions in a chain-like fashion.