Time parceling method and Bayesian variability modeling methods for modeling within individual variability indicators as predictors.For more details, see <https://github.com/xliu12/IIVpredicitor>.

Testing CRAN and Bioconductor mirror speed by recording download time of src/base/COPYING (for CRAN) and packages/release/bioc/html/ggtree.html (for Bioconductor).

This package provides tools for spatial data analysis. Emphasis on kriging. Provides functions for prediction and simulation. Intended to be relatively straightforward, fast, and flexible.

Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.

An interface to explore trends in Twitter data using the Storywrangler Application Programming Interface (API), which can be found here: <https://github.com/janeadams/storywrangler>.

This package contains functions for building GenomicState objects from different annotation sources such as Gencode. It also provides access to these files at JHPCE.

This crate provides various ordering kernels for Apache Arrow arrays. Examples include cmp, ord, partition, rank and sort kernels.

Emacs Refactor (EMR) is a framework for providing language-specific refactoring in Emacs. It includes refactoring commands for a variety of languages, including elisp itself.

This package provides Python bindings to the Rust rpds crate for persistent data structures. It was written initially to support replacing python-pyrsistent.

Access to the C-level R date and datetime code is provided for C-level API use by other packages via registration of native functions. Client packages simply include a single header RApiDatetime.h provided by this package, and also import it. The R Core group is the original author of the code made available with slight modifications by this package.

Exposes the binary search functions of the C++ standard library (std::lower_bound, std::upper_bound) plus other convenience functions, allowing faster lookups on sorted vectors.

Connect to WFP's Moda platform to R, download data, and obtain the list of individuals with access to the project along with their access level.

Detect events in time-series data. Combines multiple well-known R packages like forecast and neuralnet to deliver an easily configurable tool for multivariate event detection.

Split experiment sentences by different experiment design given by the user and the result can be used in E-prime (<https://pstnet.com/products/e-prime/>).

This package provides an implementation of the maximum likelihood methods for deriving Elo scores as published in Foerster, Franz et al. (2016) <DOI:10.1038/srep35404>.

Collection of functions to enhance ggplot2 and ggiraph'. Provides functions for exploratory plots. All plot can be a static plot or an interactive plot using ggiraph'.

This package provides utilities for Kokudo Suuchi', the GIS data service of the Japanese government. See <https://nlftp.mlit.go.jp/index.html> for more information.

Long Memory Time Series is a collection of functions for estimation, simulation and testing of long memory processes, spurious long memory processes and fractionally cointegrated systems.

This package implements L1 and L2 penalized conditional logistic regression with penalty factors allowing for integration of multiple data sources. Implements stability selection for variable selection.

Includes all the datasets of Sampling: Design and Analysis (3rd edition by Sharon Lohr) in R format and additional functions for analyzing and graphing probability samples.

This package contains microarray gene expression data on 57 bladder samples from 5 batches. The data are used as an illustrative example for the sva package.

This package provides a tool and library that capitalizes text according to a style defined by John Gruber for post titles on his website ``Daring Fireball''.

This package provides a tool and library that capitalizes text according to a style defined by John Gruber for post titles on his website ``Daring Fireball''.

skiptrace provides a way to access the bindings that relate to exceptions in Ruby, providing more information about the context in which the exception occurred.