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 performs penalized multivariate analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis.
This package implements heuristics for the quadratic assignment problem (QAP). Currently only a simulated annealing heuristic is available.
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.
An implementation of distributional random forests as introduced in Cevid & Michel & Meinshausen & Buhlmann (2020) <arXiv:2005.14458>.
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.
An easy-to-use tool to employ interactivity in every-day exploratory analysis. It contains a collection of most commonly used types of charts (such as scatter plots, line plots, heatmaps, bar charts), which can be linked to each other or to other interactive elements with just few lines of code.
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 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.
This is a package for mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, and so on.
Fits novel models for the conditional relative risk, risk difference and odds ratio <doi:10.1080/01621459.2016.1192546>.
This package provides a collection of functions which aim to assist common computational workflow for analysis of matabolomic data..
Collection of functions related to benchmark with prediction models for data analysis and editing of clinical and epidemiological data.