This package provides a package to analyze flow cytometric data using gate information to follow population/community dynamics.

Package to analyze transcription factor enrichment in a gene set using data from ChIP-Seq experiments.

Created to host raw accelerometry data sets and their derivatives which are used in the corresponding adept package.

This package provides a set of tools that can be used across data.frame and imputationList objects.

This package provides a convenient toolbox to import data exported from Electronic Data Capture (EDC) software TrialMaster'.

Fit linear regression models where the random errors follow a finite mixture of of Skew Heavy-Tailed Errors.

Simulating and plotting taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.

This data-only package was created for distributing data used in the examples of the hglm package.

This package provides functions for transforming and viewing 2-D and 3-D (oceanographic) data and model output.

Online PCA for multivariate and functional data using perturbation methods, low-rank incremental methods, and stochastic optimization methods.

Simplifies the creation of xlsx files by providing a high level interface to writing, styling and editing worksheets.

To take nested function calls and convert them to a more readable form using pipes from package magrittr'.

Density, distribution function, quantile function and random generation for the q-gaussian distribution with parameters mu and sig.

The implementation of SHAPBoost, a boosting-based feature selection technique that ranks features iteratively based on Shapley values.

Functionality to parse server-sent events with a high-level interface that can be extended for custom applications.

Include interactive sparkline charts <http://omnipotent.net/jquery.sparkline> in all R contexts with the convenience of htmlwidgets'.

Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.

Please see the shinytest to shinytest2 migration guide at <https://rstudio.github.io/shinytest2/articles/z-migration.html>.

Calculates empirical TL-moments (trimmed L-moments) of arbitrary order and trimming, and converts them to distribution parameters.

Code snippets to fit models using the tidymodels framework can be easily created for a given data set.

Historical results for the state of Virginia lottery draw games. Data were downloaded from https://www.valottery.com/.

Download financial market data, company information, financial statements, options data, and more from the unofficial Yahoo Finance API.

For a sequence of event occurence times, we are interested in finding subsequences in it that are too "regular". We define regular as being significantly different from a homogeneous Poisson process. The departure from the Poisson process is measured using a L1 distance. See Di and Perlman 2007 for more details.

This package is a pipeline to identify the key gene regulators in a biological process, for example in cell differentiation and in cell development after stimulation. There are four major steps in this pipeline: (1) differential expression analysis; (2) regulator-target network inference; (3) enrichment analysis; and (4) regulators scoring and ranking.