Adaptive Rejection Sampling, Original version.

This framework aims to provide classes and methods for manipulating and processing of raster time series data (e.g. a time series of satellite images).

Upload R data.frame to Arm Treasure Data, see <https://www.treasuredata.com/>. You can execute database or table handling for resources on Arm Treasure Data.

RipIT is used to extract audio from CDs.

Fits and tests logistic joinpoint models.

This package performs univariate probability mass function estimation via Bayesian nonparametric mixtures of rounded kernels as in Canale and Dunson (2011) <doi:10.1198/jasa.2011.tm10552>.

This holds r markdown and quarto templates for academic papers and slide decks. It also has templates to create research projects which contain academic papers as vignettes.

This package provides methods for calculation and visualization of the Repertoire Dissimilarity Index. Citation: Bolen and Rubelt, et al (2017) <doi:10.1186/s12859-017-1556-5>.

Implementation of the affine-invariant method of Goodman & Weare (2010) <DOI:10.2140/camcos.2010.5.65>, a method of producing Monte-Carlo samples from a target distribution.

Finds associations between two human genomic datasets.

Fits structural equation modeling via penalized likelihood.

An R package for polygenic trait analysis.

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Perform risk-adjusted regression and sensitivity analysis as developed in "Mitigating Omitted- and Included-Variable Bias in Estimates of Disparate Impact" Jung et al. (2024) <arXiv:1809.05651>.

Testing and inference for regression models using residual randomization methods. The basis of inference is an invariance assumption on the regression errors, e.g., clustered errors, or doubly-clustered errors.

Vector Graphics devices for Microsoft PowerPoint and Microsoft Excel'. Functions extending package officer are provided to embed DrawingML graphics into Microsoft PowerPoint presentations and Microsoft Excel workbooks.

Apply sensitivity analysis for offline policy evaluation, as implemented in Jung et al. (2017) <arXiv:1702.04690> based on Rosenbaum and Rubin (1983) <http://www.jstor.org/stable/2345524>.

RtOSC is a realtime safe library for handling OSC messages.

This package provides a solver for generalized estimation equations.

RT provides a framework for writing regression test suites.

Dynamic model averaging for binary and continuous outcomes.

Create Frequently Asked Questions page for Shiny application.

Facilitates building topology preserving maps for data analysis.

Incremental Multiple Correspondence Analysis and Principal Component Analysis.