Tools for Working with Multidimensional Data (kdtools)
Provides various tools for working with multidimensional data in R and C++, including extremely fast nearest-neighbor- and range- queries without the overhead of linked tree nodes.

Local Interpretable (Model-Agnostic) Visual Explanations (live)
Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>.

Utility Functions for Davidian Curves (dcurver)
A Davidian curve defines a seminonparametric density, whose flexibility can be tuned by a parameter. Since a special case of a Davidian curve is the standard normal density, Davidian curves can be used for relaxing normality assumption in statistical applications (Zhang & Davidian, 2001) <doi:10.1111/j.0006-341X.2001.00795.x>. This package provides the density function, the gradient of the loglikelihood and a random generator for Davidian curves.

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