This package implements under/oversampling for probability estimation. To be used with machine learning methods such as AdaBoost, random forests, etc.

Search and download data from the API for Japanese Diet Proceedings (see the reference at <https://kokkai.ndl.go.jp/api.html>).

This package implements a data language engine for incorporating data directly in rmarkdown documents so that they can be made completely standalone.

Datasets for the third edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes version of datasets from earlier editions.

This package provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and inter-laboratory metrology comparison studies.

Utilities and kinship information for behavior genetics and developmental research using the National Longitudinal Survey of Youth (NLSY; <https://www.nlsinfo.org/>).

Miscellaneous small utilities are provided to mitigate issues with messy, inconsistent or high dimensional data and help for preprocessing and preparing analyses.

We extend dplyr and fuzzyjoin join functions with features to preprocess the data, apply various data checks, and deal with conflicting columns.

This package provides functions and datasets to accompany J. Albert and J. Hu, "Probability and Bayesian Modeling", CRC Press, (2019, ISBN: 1138492566).

Data and analysis from an experiment with improving touch typing speed, using the tDCS PlatoWork headset produced by PlatoScience.

Upload raster data and easily create interactive quantitative risk analysis QRA visualizations. Select from numerous color palettes, base-maps, and different configurations.

Create publication quality plots and tables for Item Response Theory and Classical Test theory based item analysis, exploratory and confirmatory factor analysis.

This package provides a teal_data class as a unified data model for teal applications focusing on reproducibility and relational data.

Easily plot heat maps of the world, based on continuous or categorical data. Country labels can also be added to the map.

The package pRolocGUI comprises functions to interactively visualise spatial proteomics data on the basis of pRoloc, pRolocdata and shiny.

The package offer different classifiers based on comparisons of pair of features (TSP), using various decision rules (e.g., majority wins principle).

This package provides functions to estimate a bipartite graph of protein complex membership using AP-MS data.

This package provides methods and functionality to analyze flow data that is beyond the basic infrastructure provided by the flowCore package.

This package provides an array-like container for convenient access and manipulation of HDF5 datasets. It supports delayed operations and block processing.

This package provides dataset samples (Affymetrix: Expression, Gene, Exon, SNP; NimbleGen: Expression, Tiling) to be used with the oligo package.

This package provides routines for the polynomial spline fitting routines hazard regression, hazard estimation with flexible tails, logspline, lspec, polyclass, and polymars.

This package provides tools to create a measure of inter-point dissimilarity useful for clustering mixed data, and, optionally, perform the clustering.

This package provides a Ruby wrapper for the OAuth 2.0 protocol built with a similar style to the original OAuth spec.

Rendering Extension defines a protocol for a digital image composition as the foundation of a new rendering model within the X Window System.