Optimal Stratification in Stratified Sampling (stratbr)
An Optimization Algorithm Applied to Univariate Stratification Problem This function aims at constructing optimal strata with an optimization algorithm based on a global optimisation technique called Biased Random Key Genetic Algorithms.

Fast and Accurate Evaluation, Random Number Generation and Parameter Estimation of Skew Stable Distributions (libstableR)
Tools for fast and accurate evaluation of skew stable distributions (CDF, PDF and quantile functions), random number generation and parameter estimation.

Execute and Control System Processes (processx)
Portable tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes and their children; restart processes. It can read the standard output and error of the processes, using non-blocking connections. ‘processx’ can poll a process for standard output or error, with a timeout. It can also poll several processes at once.

Taxometric Analysis (RTaxometrics)
We provide functions to perform taxometric analyses. This package contains 52 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.

Logistic Regression with Misclassification in Dependent Variables (logistic4p)
Error in a binary dependent variable, also known as misclassification, has not drawn much attention in psychology. Ignoring misclassification in logistic regression can result in misleading parameter estimates and statistical inference. This package conducts logistic regression analysis with misspecification in outcome variables.

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