This package performs a joint analysis of experiments with mixtures and random effects, taking on a process variable represented by a covariable.

Mainly used to build tables that are commonly presented for bio-medical/health research, such as basic characteristic tables or descriptive statistics.

Includes climate data from Japan Meteorological Agency ('JMA') <https://www.jma.go.jp/jma/indexe.html>. Can download climate data from JMA'.

Attempt to repair inconsistencies and missing values in data records by using information from valid values and validation rules restricting the data.

Generate search filters to query scientific bibliographic sources, such as PubMed and Web of Science, for non-human primate related publications.

Provide specialized ggplot2 layers and scales for spatial uncertainty visualization, including bivariate choropleth maps, pixel maps, glyph maps, and exceedance probability maps.

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.

This package provides an RStudio extension with a chat interface for an AI coding agent to help users with R programming tasks.

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

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

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

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

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

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

Generate and translate standard Universally Unique Identifiers (UUIDs) into shorter - or just different - formats and back. Also implements base58 encoders and decoders.

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

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

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

This package provides an RNA-seq workflow for differential transcript usage (DTU) following Salmon quantification. This workflow performs a DTU analysis on simulated data. It also shows how to use stageR to perform two-stage testing of DTU, a statistical framework to screen at the gene level and then confirm which transcripts within the significant genes show evidence of DTU.

Measure single-storage water supply system performance using resilience, reliability, and vulnerability metrics; assess storage-yield-reliability relationships; determine no-fail storage with sequent peak analysis; optimize release decisions for water supply, hydropower, and multi-objective reservoirs using deterministic and stochastic dynamic programming; generate inflow replicates using parametric and non-parametric models; evaluate inflow persistence using the Hurst coefficient.