This package provides core functions and utilities for packages and other code developed by Jordan Mark Barbone.

Estimates Filtered Monotonic Polynomial IRT Models as described by Liang and Browne (2015) <DOI:10.3102/1076998614556816>.

Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.

Iterated Function Systems Estimator as in Iacus and La Torre (2005) <doi:10.1155/JAMDS.2005.33>.

Mixed model-based genome-wide association analysis that accommodate population membership information, variance adjustment, and correlated responses.

Estimate and test inter-generational social mobility effect on an outcome with cross-sectional or longitudinal data.

The purpose of this package is to factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions is made available with R_RegisterCCallable().

In order to facilitate R instruction for actuaries, we have organized several sets of publicly available data of interest to non-life actuaries. In addition, we suggest a set of packages, which most practicing actuaries will use routinely. Finally, there is an R markdown skeleton for basic reserve analysis.

Relaxed Radix Balanced Trees are an immutable vector-like data structure with good performance characteristics for concatenation and slicing.

This package implements heuristics for the quadratic assignment problem (QAP). Currently only a simulated annealing heuristic is available.

This package performs penalized multivariate analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis.

ReTux is an action platformer loosely inspired by the Mario games, utilizing the art assets from the SuperTux project.

Algorithms developed for binned data analysis, gene expression data analysis and measurement error models for ordinal data analysis.

Implementation of the Control Polygon Reduction and Control Net Reduction methods for finding parsimonious B-spline regression models.

This package provides functions to generate and analyze data for psychology experiments based on the General Recognition Theory.

Robust Estimation of Multivariate Location and Scatter in the Presence of Cellwise and Casewise Contamination and Missing Data.

This package provides methods for estimation and statistical inference on directional and fluctuating selection in age-structured populations.

Naive discriminative learning implements learning and classification models based on the Rescorla-Wagner equations and their equilibrium equations.

The Semi Parametric Piecewise Distribution blends the Generalized Pareto Distribution for the tails with a kernel based interior.

Random forest with a variety of additional features for regression, classification and survival analysis. The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable, based on Zhu, Zeng & Kosorok (2015) <doi:10.1080/01621459.2015.1036994>, subject weight, variable weight, tracking subjects used in each tree, etc.

This package implements an S3 class for storing and formatting time-of-day values, based on the difftime class.

This is a package for mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, and so on.

This package provides functions and S3 classes for time indexes and time indexed series, which are compatible with FAME frequencies.

This package provides an R wrapper for the special functions and quasi random number generators of the GNU Scientific Library.