Different sample size calculations with different study designs. These techniques are explained by Chow (2007) <doi:10.1201/9781584889830>.

Efficient approximation of first passage time densities for diffusion processes based on the First Passage Time Location (FPTL) function.

This package provides a collection of functions to optimize portfolios and to analyze them from different points of view.

Smoothed bootstrap and functions for random generation from univariate and multivariate kernel densities. It does not estimate kernel densities.

Adds smoothing spline modelling capability to nlme. Fits smoothing spline terms in Gaussian linear and nonlinear mixed-effects models.

Collect your data on digital marketing campaigns from Mailchimp using the Windsor.ai API <https://windsor.ai/api-fields/>.

Single arm phase 2 oncology trial. For more details see P. Gao (2024) <doi:10.1080/10543406.2024.2341673>.

Given inputs A,B and C, this package solves the matrix equation A*X^2 - B*X - C = 0.

Extends the quadprog package to solve quadratic programs with absolute value constraints and absolute values in the objective function.

This package provides tools for spatially explicit capture-recapture analysis of animal populations in linear habitats, extending package secr'.

Data used in Taback, N. (2022). Design and Analysis of Experiments and Observational Studies using R. Chapman & Hall/CRC.

Stores and eases the manipulation of spectra and associated data, with dedicated classes for spatial and soil-related data.

Parse Standard Schedules Information file (types 2 and 3) into a Data Frame. Can also expand schedules into flights.

To visualize the gene structure with multiple isoforms better, I developed this package to draw different transcript structures easily.

This package provides a tool to read and manipulate data generated from RiverWare'(TM) <https://www.riverware.org/> simulations. RiverWare and RiverSMART generate data in "rdf", "csv", and "nc" format. This package provides an interface to read, aggregate, and summarize data from one or more simulations in a dplyr pipeline.

This package provides a wrapper for Jagger, a morphological analyzer proposed in Yoshinaga (2023) <arXiv:2305.19045>. Jagger uses patterns derived from morphological dictionaries and training data sets and applies them from the beginning of the input. This simultaneous and deterministic process enables it to effectively perform tokenization, POS tagging, and lemmatization.

Vendors the igraph C source code and builds it into a static library. Other Bioconductor packages can link to libigraph.a in their own C/C++ code. This is intended for packages wrapping C/C++ libraries that depend on the igraph C library and cannot be easily adapted to use the igraph R package.

This package provides an R interface to the JuliaBUGS.jl package (<https://github.com/TuringLang/JuliaBUGS.jl>) for Bayesian inference using the BUGS modeling language. Allows R users to run models in Julia and return results as familiar R objects. Visualization and posterior analysis are supported via the bayesplot and posterior packages.

Read and write labelled sparse matrices in text format as used by software such as SVMLight', LibSVM', ThunderSVM', LibFM', xLearn', XGBoost', LightGBM', and others. Supports labelled data for regression, classification (binary, multi-class, multi-label), and ranking (with qid field), and can handle header metadata and comments in files.

This crate provides de/serialization, parsing and execution of Bitcoin data structures and network messages: transactions, blocks, addresses, scripts and PSBTs.

This package provides tools for finding bumps in genomic data in order to identify differentially methylated regions in epigenetic epidemiology studies.

This package provides a package to perform differential network analysis, differential node analysis (differential coexpression analysis), network and metabolic pathways view.

This package provides density, probability and quantile functions, and random number generation for (skew) stable distributions, using the parametrizations of Nolan.

This package implements density, distribution functions, quantile functions and random generation functions for a large number of univariate and multivariate distributions.