Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Lopes (2018) <arXiv:1806.05738>.

This package implements the board game CamelUp for use in introductory statistics classes using a Shiny app.

Amends errors, augments data and aids analysis of John Snow's map of the 1854 London cholera outbreak.

Use the US Census API to collect summary data tables for SF1 and ACS datasets at arbitrary geographies.

Implement some deep learning architectures and neural network algorithms, including BP,RBM,DBN,Deep autoencoder and so on.

The CRAN check results and where your package stands in the CRAN submission queue in your R terminal.

This package provides a path-following algorithm for L1 regularized generalized linear models and Cox proportional hazards model.

This package provides basic graphing functions to fully demonstrate point-to-point connections in a polar coordinate space.

Calculate Hopkins statistic to assess the clusterability of data. See Wright (2023) <doi:10.32614/RJ-2022-055>.

R interface to access the web services of the ICES Stock Assessment Graphs database <https://sg.ices.dk>.

This package contains bibliographic information for the U.S. Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.

This package performs matrix skew-t parameter estimation, Gallaugher and McNicholas (2017) <doi: 10.1002/sta4.143>.

Create tile grid maps, which are like choropleth maps except each region is represented with equal visual space.

This package provides a database containing the names of the babies born in Quebec between 1980 and 2020.

This package provides functions for conventionally formatting descriptive stats, reshaping data frames and formatting R output as HTML.

Create sliders from left, right, top and bottom which may include any html or Shiny input or output.

This package provides a sparklyr extension that enables reading and writing TensorFlow TFRecord files via Apache Spark'.

Implementation of the shuffle estimator, a non-parametric estimator for signal and noise variance under mild noise correlations.

L2 penalized logistic regression for both continuous and discrete predictors, with forward stagewise/forward stepwise variable selection procedure.

This package provides memory efficient S4 classes for storing sequences "externally" (behind an R external pointer, or on disk).

This package is used for cell type identification in spatial transcriptomics. It also handles cell type-specific differential expression.

The gdtools package provides functionalities to get font metrics and to generate base64 encoded string from raster matrix.

This package provides a violin plot, which is a combination of a box plot and a kernel density plot.

This is a package for maximum likelihood estimation of censored regression (Tobit) models with cross-sectional and panel data.