Multivariate time series analysis based on Generalized Space-Time Autoregressive Model by Ruchjana et al.(2012) <doi:10.1063/1.4724118>.

Targeted Maximum Likelihood Estimation ('TMLE') of treatment/censoring specific mean outcome or marginal structural model for point-treatment and longitudinal data.

Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.

Create vectors with sticky flags for elements that should not be displayed. Numeric vectors have basic subset and arithmetic methods implemented.

This package implements the MVOPR (Multi-View Orthogonal Projection Regression) method for robust variable selection and integration of multi-modality data.

This GUI for the mi package walks the user through the steps of multiple imputation and the analysis of completed data.

Generates multivariate imputations using sequential regression with L2 penalty. For more details see Zahid and Heumann (2018) <doi:10.1177/0962280218755574>.

Connects to Google cloud vision <https://cloud.google.com/vision> to perform label detection and repurpose this feature for image classification.

This package provides a native R client library for querying the Prometheus time-series database, using the PromQL query language.

Qiita is a technical knowledge sharing and collaboration platform for programmers. See <https://qiita.com/api/v2/docs> for more information.

This package provides a consistent interface to encrypt and decrypt strings, R objects and files using symmetric and asymmetric key encryption.

This package provides functions to compute and plot tracheidograms, as in De Soto et al. (2011) <doi:10.1139/x11-045>.

This package provides functions to manage taxonomy when lineages are described with strings and ranks separated with special patterns like "|*__" or ";*__".

MuSiC is a deconvolution method that utilizes cross-subject scRNA-seq to estimate cell type proportions in bulk RNA-seq data.

This package provides extended data frames, with a special data frame column which contains two indexes, with potentially a nesting structure.

This package lets you import foreign statistical formats into R via the ReadStat C library.

This package provides an R interface to the libgit2 library, which is a pure C implementation of the Git core methods.

The objective of this package is to perform inference using an expressive statistical grammar that coheres with the Tidy design framework.

ReadOSM is a library to extract valid data from within an OpenStreetMap input file (in .osm or .osm.pbf format).

RE is a small, portable, lightweight, and quick, regular expression library for Common Lisp. It is a non-recursive, backtracing VM.

Wrapper for the PoetryDB API <http://poetrydb.org> that allows for interaction and data extraction from the database in an R interface. The PoetryDB API is a database of poetry and poets implemented with MongoDB to enable developers and poets to easily access one of the most comprehensive poetry databases currently available.

This package provides functions to generate censored samples of type I, II and III, from any random sample generator. It also supplies the option to create left and right censorship. Along with this, the generation of samples with interval censoring is in the testing phase, with two options of fixed length intervals and random lengths.

This package provides a structural, reproducible workflow for the processing and analysis of respirometry data. It contains analytical functions and utilities for working with oxygen time-series to determine respiration or oxygen production rates, and to make it easier to report and share analyses. See Harianto et al. 2019 <doi:10.1111/2041-210X.13162>.

ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. ROSeq takes filtered and normalized read matrix and cell-annotation/condition as input and determines the differentially expressed genes between the contrasting groups of single cells. One of the input parameters is the number of cores to be used.