Estimation of Multivariate Densities Using Adaptive Partitions (delt)
We implement methods for estimating multivariate densities. We include a discretized kernel estimator, an adaptive histogram (a greedy histogram and a CART-histogram), stagewise minimization, and bootstrap aggregation.

Extending the Range of Functions for Probability Distributions (ExtDist)
A consistent, unified and extensible framework for estimation of parameters for probability distributions, including parameter estimation procedures that allow for weighted samples; the current set of distributions included are: the standard beta, The four-parameter beta, Burr, gamma, Gumbel, Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal, truncated normal, symmetric-reflected truncated beta, standard symmetric-reflected truncated beta, triangular, uniform, and Weibull distributions; decision criteria and selections based on these decision criteria.

A Robust, High Performance JSON Parser and Generator for R (jsonlite)
A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of RJSONIO, but has been completely rewritten in recent versions. The package offers flexible, robust, high performance tools for working with JSON in R and is particularly powerful for building pipelines and interacting with web APIs. The implementation is based on the mapping described in the vignette of the package (Ooms, 2014). In addition to drop-in replacements for toJSON and fromJSON, jsonlite contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.