**Comparing Restricted Mean Survival Time** (**survRM2**)

Performs two-sample comparisons using the restricted mean survival time (RMST) as a summary measure of the survival time distribution. Three kinds of between-group contrast metrics (i.e., the difference in RMST, the ratio of RMST and the ratio of the restricted mean time lost (RMTL)) are computed. It performs an ANCOVA-type covariate adjustment as well as unadjusted analyses for those measures.

**Causal Effect Estimation and Diagnostics with Support Vector Machines** (**SVMMatch**)

Causal effect estimation in observational data often requires identifying a set of untreated observations that are comparable to some treated group of interest. This package provides a suite of functions for identifying such a set of observations and for implementing standard and new diagnostics tools. The primary function, svmmatch(), uses support vector machines to identify a region of common support between treatment and control groups. A sensitivity analysis, balance checking, and assessment of the region of overlap between treated and control groups is included. The Bayesian implementation allows for recovery of uncertainty estimates for the treatment effect and all other parameters.

**Calculate Multivariate Richness via UTC and sUTC** (**multirich**)

Functions to calculate Unique Trait Combinations (UTC) and scaled Unique Trait Combinations (sUTC) as measures of multivariate richness. The package can also calculate beta-diversity for trait richness and can partition this into nestedness-related and turnover components. The code will also calculate several measures of overlap.

**Model Layer for Automatic Data Analysis** (**analyz**)

Class with methods to read and execute R commands described as steps in a CSV file.

**Gender Prediction Based on First Names** (**genderizeR**)

Utilizes the genderize.io API to predict gender from first names extracted from a text vector. The accuracy of prediction could be controlled by two parameters: counts of a first name in the database and probability of prediction.

**Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)** (**Rlibeemd**)

An R interface for C library libeemd for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD).

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