**GMUM Machine Learning Group Package** (**gmum.r**)

Direct R interface to Support Vector Machine libraries (‘LIBSVM’ and ‘SVMLight’) and efficient C++ implementations of Growing Neural Gas and models developed by ‘GMUM’ group (Cross Entropy Clustering and 2eSVM).

**Toolbox for Regression Discontinuity Design (‘RDD’)** (**rddtools**)

Set of functions for Regression Discontinuity Design (‘RDD’), for data visualisation, estimation and testing.

**Change-Point Estimation using Shape-Restricted Splines** (**ShapeChange**)

In a scatterplot where the response variable is Gaussian, Poisson or binomial, we consider the case in which the mean function is smooth with a change-point, which is a mode, an inflection point or a jump point. The main routine estimates the mean curve and the change-point as well using shape-restricted B-splines. An optional subroutine delivering a bootstrapping confidence interval for the change-point is incorporated in the main routine.

**Community Estimation in G-Models via CORD** (**cord**)

Partition data points (variables) into communities/clusters, similar to clustering algorithms, such as k-means and hierarchical clustering. This package implements a clustering algorithm based on a new metric CORD, defined for high dimensional parametric or semi-parametric distributions. Read http://…/1508.01939 for more details.

**Solve Nonlinear Optimization with Nonlinear Constraints** (**NlcOptim**)

Optimization for nonlinear objective and constraint functions. Linear or nonlinear equality and inequality constraints are allowed. It accepts the input parameters as a constrained matrix.

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