Break Down Plots (breakDown)
Break Down Plots are inspired by waterfall plots created by ‘xgboostExplainer’ package (see <https://…/xgboostExplainer> ). The idea behind Break Down Plots it to decompose model prediction for a single observation. Break Down Plots show the contribution of every variable present in the model. Such plots will work for binary classifiers and general regression models.

Portable File Locking (filelock)
Place an exclusive or shared lock on a file. It uses ‘LockFile’ on Windows and ‘fcntl’ locks on Unix-like systems.

Nonparametric Estimation for Interval-Grouped Data (binnednp)
Kernel density and distribution estimation for interval-grouped data (Reyes, Francisco-Fernandez and Cao 2016, 2017) <doi:10.1080/10485252.2016.1163348>, <doi:10.1007/s11749-017-0523-9>, (Gonzalez-Andujar, Francisco-Fernandez, Cao, Reyes, Urbano, Forcella and Bastida 2016) <doi:10.1111/wre.12216> and nonparametric estimation of seedling emergence indices (Cao, Francisco-Fernandez, Anand, Bastida and Gonzalez-Andujar 2011) <doi:10.1017/S002185961100030X>.

Generalized Normal/Exponential Power Distribution (gnorm)
Functions for obtaining generalized normal/exponential power distribution probabilities, quantiles, densities and random deviates. The generalized normal/exponential power distribution was introduced by Subbotin (1923) and rediscovered by Nadarajah (2005). The parametrization given by Nadarajah (2005) <doi:10.1080/02664760500079464> is used.

Analysis of Simulation Studies Including Monte Carlo Error (rsimsum)
Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the ‘simsum’ user-written command in ‘Stata’ (See White I.R., 2010 <http://…/article.html?article=st0200> ).