Check a data frame for personal information, including names, location, disability status, and geo-coordinates.

This package implements sparse Bayesian learning method for QTL mapping and genome-wide association studies.

Code to facilitate simulation and inference when connectivity is defined by underlying random walks. Methods for spatially-correlated pairwise distance data are especially considered. This provides core code to conduct analyses similar to that in Hanks and Hooten (2013) <doi:10.1080/01621459.2012.724647>.

Randomization inference procedures for simple and complex randomized designs, including multi-armed trials, as described in Gerber and Green (2012, ISBN: 978-0393979954). Users formally describe their randomization procedure and test statistic. The randomization distribution of the test statistic under some null hypothesis is efficiently simulated.

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.

This package provides a normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.

This package provides a tool for unsupervised clustering and analysis of single cell RNA-Seq data.

Bayesian adaptive randomization is also called outcome adaptive randomization, which is increasingly used in clinical trials.

Significance tests are provided for canonical correlation analysis, including asymptotic tests and a Monte Carlo method.

Calculate and analyze ecological connectivity across the watercourse of river networks using the Dendritic Connectivity Index.

This package provides basic distribution functions for a mixture model of a Gaussian and exponential distribution.

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.

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

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

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/>.