This package provides functions for easy building of error correction models (ECM) for time series regression.

Open the current working directory (or a given directory path) in your computer's file manager.

Kappa, ICC, reliability coefficient, parallel analysis, multi-traits multi-methods, spherical representation of a correlation matrix.

Runs SQL statements on in-memory data frames within a temporary in-memory duckdb data base.

Enables the acquisition of Korean financial market data, designed to integrate seamlessly with the tidyquant package.

C source code and R wrappers for the tth/ttm TeX-to-HTML/MathML translators.

This package contains logic for cell-specific gene set scoring of single cell RNA sequencing data.

Implementation of Weighted Fast Greedy algorithm for community detection in networks with mixed types of attributes.

Shows the relationship between an independent and dependent variable through Weight of Evidence and Information Value.

This package provides functions and datasets for maximum likelihood fitting of some classes of graphical Markov models.

This package provides functions that read and solve linear inverse problems (food web problems, linear programming problems).

Rhino implements ECMAScript, also known as JavaScript, in Java as specified in the fifth edition of ECMA-262.

Automate downstream visualization & pathway analysis in RNAseq analysis. RVA is a collection of functions that efficiently visualize RNAseq differential expression analysis result from summary statistics tables. It also utilize the Fisher's exact test to evaluate gene set or pathway enrichment in a convenient and efficient manner.

This package performs robust and sparse correlation matrix estimation. Robustness is achieved based on a simple robust pairwise correlation estimator, while sparsity is obtained based on thresholding. The optimal thresholding is tuned via cross-validation. See Serra, Coretto, Fratello and Tagliaferri (2018) <doi:10.1093/bioinformatics/btx642>.

Search and download data from the Swiss Federal Statistical Office (BFS) APIs <https://www.bfs.admin.ch/>.

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

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

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

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

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

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.

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().

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.