This package provides David Scott's ASH routines ported from S-PLUS to R.

This package provides a number of methods for creating and augmenting Latin Hypercube Samples.

Plot party trees in left-right orientation instead of the classical top-down layout.

This package provides functions to test and compare causal models using Confirmatory Path Analysis.

Gradient-Enhanced Kriging as an emulator for computer experiments based on Maximum-Likelihood estimation.

Computes multiple correlation coefficient when the data matrix is given and tests its significance.

Efficient procedures for fitting and cross-validating the structurally-regularized time-dependent Cox models.

This package provides tools for analyzing EWAS, methQTL and GxE genome widely.

Analyze thermal proteome profiling (TPP) experiments with varying temperatures (TR) or compound concentrations (CCR).

This package provides tools for exporting and importing classification trees and clusters to other programs.

Allows interaction with Interactive Brokers Trader Workstation <https://interactivebrokers.github.io/tws-api/>. Handles the connection over the network and the exchange of messages. Data is encoded and decoded between user and wire formats. Data structures and functionality closely mirror the official implementations.

Includes algorithms to assess research productivity and patterns, such as the h-index and i-index. Cardoso et al. (2022) Cardoso, P., Fukushima, C.S. & Mammola, S. (2022) Quantifying the internationalization and representativeness in research. Trends in Ecology and Evolution, 37: 725-728.

Combine ideas of log-linear analysis of contingency table, flexible response function estimation and empirical Bayes dispersion estimation for explorative visualization of microbiome datasets. The package includes unconstrained as well as constrained analysis. In addition, diagnostic plot to detect lack of fit are available.

This package provides an interface to Bank of Japan <https://www.boj.or.jp> statistics.

Generate cost effective minimally changed run sequences for symmetrical as well as asymmetrical factorial designs.

Process open standard GPX files into data.frames for further use and analysis in R.

Perform the model confidence set procedure of Hansen et al (2011) <doi:10.3982/ECTA5771>.

Check a data frame for personal information, including names, location, disability status, and geo-coordinates.

This package implements sparse Bayesian learning method for QTL mapping and genome-wide association studies.

This package provides functions and datasets from book Companion to Applied regression, Second Edition, Sage, 2011.

This package provides ``Rogue: Exploring the Dungeons of Doom'', the original rogue game found on 4.2BSD.

Code to facilitate simulation and inference when connectivity is defined by underlying random walks. Methods for spatially-correlated pairwise distance data are especially considered. This provides core code to conduct analyses similar to that in Hanks and Hooten (2013) <doi:10.1080/01621459.2012.724647>.

Randomization inference procedures for simple and complex randomized designs, including multi-armed trials, as described in Gerber and Green (2012, ISBN: 978-0393979954). Users formally describe their randomization procedure and test statistic. The randomization distribution of the test statistic under some null hypothesis is efficiently simulated.

Bayesian adaptive randomization is also called outcome adaptive randomization, which is increasingly used in clinical trials.