Fast and accurate calculation of Blaker's binomial and Poisson confidence limits (and some related stuff).

This package provides authentication for Shiny applications using Amazon Cognito ( <https://aws.amazon.com/es/cognito/>).

This package provides conversion functionality between a broad range of scientific, historical, and industrial unit types.

Allows users to quickly and easily detect data containing Personally Identifiable Information (PII) through convenience functions.

S4-classes for setting up a coherent framework for simulation within the distr family of packages.

Datasets from Nelson, Coffin and Copeland "Introductory Statistics for Engineering Experimentation" (Elsevier, 2003) with sample code.

This package creates simple or stacked epidemic curves for hourly, daily, weekly or monthly outcome data.

Infrastrcture for creating rich, dynamic web content using R scripts while maintaining very fast response time.

Data sets from the book Generalized Linear Models with Examples in R by Dunn and Smyth.

Interactive shiny application for running Item Response Theory analysis. Provides graphics for characteristic and information curves.

Interface to JSON-stat <https://json-stat.org/>, a simple lightweight JSON format for data dissemination.

Information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru.

This package provides a-priori, post-hoc, and compromise power-analyses for structural equation models (SEM).

Tidying functions built on data.table to provide quick and efficient data manipulation with minimal overhead.

Create HTML5 slides with R Markdown and the JavaScript library remark.js (<https://remarkjs.com>).

This package provides a wrapper for the Intro.js library. This package makes it easy to include step-by-step introductions, and clickable hints in a Shiny application. It supports both static introductions in the UI, and programmatic introductions from the server-side.

RcppDist provides a header-only C++ library with functions for additional statistical distributions that can be called from C++ when writing code using Rcpp or RcppArmadillo. Functions are available that return a NumericVector as well as doubles, and for multivariate or matrix distributions, Armadillo vectors and matrices.

Parameters estimation and linear regression models for Reliability distributions families reviewed by Almalki & Nadarajah (2014) <doi:10.1016/j.ress.2013.11.010> using Generalized Additive Models for Location, Scale and Shape, aka GAMLSS by Rigby & Stasinopoulos (2005) <doi:10.1111/j.1467-9876.2005.00510.x>.

This package provides tools to read various file types into one list of data structures, usually, but not limited to, data frames. Excel files are read sheet-wise, i.e., all or a selection of sheets can be read. Field delimiters and decimal separators are determined automatically.

External jars required for package RMOA. RMOA is a framework to build data stream models on top of MOA (Massive Online Analysis - <https://moa.cms.waikato.ac.nz/>). The jar files are put in this R package, the modelling logic can be found in the RMOA package.

Computationally efficient tool for performing variable selection and obtaining robust estimates, which implements robust variable selection procedure proposed by Wang, X., Jiang, Y., Wang, S., Zhang, H. (2013) <doi:10.1080/01621459.2013.766613>. Users can enjoy the near optimal, consistent, and oracle properties of the procedures.

This package provides a simple and efficient way to read data from Paradox database files (.db) directly into R as modern tibble data frames. It uses the underlying pxlib C library, to handle the low-level file format details and provides a clean, user-friendly R interface.

This package contains an extension library for accessing Redis database servers using the hiredis C library API.

This package provides infrastructure shared by all Biostrings-based genome data packages and support for efficient SNP representation.