Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.

Density, distribution function, the quantile function, random generation function, and maximum likelihood estimation.

The R equivalent of nodemon'. Watches specified directories for file changes and reruns a designated R script when changes are detected. It's designed to automate the process of reloading your R applications during development, similar to nodemon for Node.js'.

This package provides a very lightweight package that writes out log messages in an opinionated way. Simpler and lighter than other logging packages, rlog provides a compact feature set that focuses on getting the job done in a Unix-like way.

This package installs and interfaces the naive Bayesian classifier for 16S rRNA sequences developed by the Ribosomal Database Project (RDP). With this package the classifier trained with the standard training set can be used or a custom classifier can be trained.

This package provides a wrapper for running the bundled Open-WBO Maximum Satisfiability (MaxSAT) solver (<https://github.com/sat-group/open-wbo>). Users can pass command-line arguments to the solver and capture its output as a character string or file.

This package implements simple Hamiltonian Monte Carlo routines in R for sampling from any desired target distribution which is continuous and smooth. See Neal (2017) <arXiv:1701.02434> for further details on Hamiltonian Monte Carlo. Automatic parameter selection is not supported.

Allows the user to access functionality in the CDK', a Java framework for cheminformatics. This allows the user to load molecules, evaluate fingerprints, calculate molecular descriptors and so on. In addition, the CDK API allows the user to view structures in 2D.

This package provides functions in this package will import filtered variant call format (VCF) files of SNPs data and generate data sets to detect copy number variants, visualize them and do downstream analyses with copy number variants(e.g. Environmental association analyses).

Terminal-based markdown note manager to view statistics, explore connections and launch editing and viewing applications.

This package provides a simple interface to and data from the Human Protein Atlas project.

This package provides tools for the analysis and visualization of bilateral asymmetry in parasitic infections.

This package provides tools to fit and compare Gaussian linear and nonlinear mixed-effects models.

The package is designed to detect marker genes from Microarray gene expression data sets.

This package can optimize the parameter in S-system models given time series data.

Estimating the average causal effect based on the Bayesian Adjustment for Confounding (BAC) algorithm.

Compute multivariate location, scale, and correlation estimates based on Tukey's biweight M-estimator.

Capture code evaluations and script executions by expressions, outputs, and condition calls for logging.

Rudimentary functions for sampling and calculating density from the matrix-variate variance-gamma distribution.

Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.

ML and GM estimation and diagnostic testing of econometric models for spatial panel data.

Make it easy to use vue in R with helper dependency functions and examples.

This package provides a novel sufficient-dimension reduction method is robust against outliers using alpha-distance covariance and manifold-learning in dimensionality reduction problems. Please refer Hsin-Hsiung Huang, Feng Yu & Teng Zhang (2024) <doi:10.1080/10485252.2024.2313137> for the details.

Empirical best linear unbiased prediction (EBLUP) and robust prediction of the area-level means under the basic unit-level model. The model can be fitted by maximum likelihood or a (robust) M-estimator. Mean square prediction error is computed by a parametric bootstrap.