This package implements asymptotic methods related to maximally selected statistics, with applications to single-nucleotide polymorphism (SNP) data.
RTG-MATH provides a selection of the math routines most commonly needed for making realtime graphics in Lisp.
Timers offers a collections of one-shot and periodic timers, intended for use with event loops such as async.
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'.
Simulating and plotting taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.
Fit linear regression models where the random errors follow a finite mixture of of Skew Heavy-Tailed Errors.
This data-only package was created for distributing data used in the examples of the hglm package.
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.
This package provides functions for transforming and viewing 2-D and 3-D (oceanographic) data and model output.
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.
Functionality to parse server-sent events with a high-level interface that can be extended for custom applications.
Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.
The implementation of SHAPBoost, a boosting-based feature selection technique that ranks features iteratively based on Shapley values.
Include interactive sparkline charts <http://omnipotent.net/jquery.sparkline> in all R contexts with the convenience of htmlwidgets'.
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/.