This package provides a novel semi-supervised machine learning algorithm to predict phenotype event times using Electronic Health Record (EHR) data.
This package creates a local database of many commonly used taxonomic authorities and provides functions that can quickly query this data.
This package provides a user-friendly factor-like interface for converting strings of text into numeric vectors and rectangular data structures.
This package provides a few functions which provide a quick way of subsetting genomic admixture data and generating customizable stacked barplots.
This package provides an R wrapper to the Python natural language processing (NLP) library spaCy
, from http://spacy.io.
This package provides empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or truncated data. It also does regression.
This package provides an R interface to the jExcel library to create web-based interactive tables and spreadsheets compatible with spreadsheet software.
This package provides an R tool for estimating and partitioning R2 in generalized linear mixed models (GLMMs) based on predictor variance.
This package provides a series of additional Tcl commands and Tk widgets with style and various functions to supplement the tcltk package
Contains functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models.
This package provides a collection of numeric types and traits for Rust, including bigint, complex, rational, range iterators, generic integers, and more.
This package provides a collection of numeric types and traits for Rust, including bigint, complex, rational, range iterators, generic integers, and more.
This package provides a collection of numeric types and traits for Rust, including bigint, complex, rational, range iterators, generic integers, and more.
This package provides a collection of numeric types and traits for Rust, including bigint, complex, rational, range iterators, generic integers, and more.
Applies a given global-fit method to random partial tanglegrams of a fixed size to identify the associations, terminals, and nodes that maximize phylogenetic (in)congruence. It also includes functions to compute more easily the confidence intervals of classification metrics and plot results, reducing computational time. See Llaberia-Robledillo et al., (2023) <doi:10.1093/sysbio/syad016>.
Access the Refuge API, a web-application for locating trans and intersex-friendly restrooms, including unisex and accessible restrooms. Includes data on the location of restrooms, along with directions, comments, user ratings and amenities. Coverage is global, but data is most comprehensive in the United States. See <https://www.refugerestrooms.org/api/docs/> for full API documentation.
This package provides a set of functions to build simple GUI controls for R functions. These are built on the tcltk package. Uses could include changing a parameter on a graph by animating it with a slider or a "doublebutton", up to more sophisticated control panels. Some functions for specific graphical tasks, referred to as cartoons', are provided.
Implementation of the MEthod based on the Removal Effects of Criteria - MEREC- a new objective weighting method for determining criteria weights for Multiple Criteria Decision Making problems, created by Mehdi Keshavarz-Ghorabaee (2021) <doi:10.3390/sym13040525>. Given a decision matrix, the function return the Merec´s weight vector and all intermediate matrix/vectors used to calculate it.
This package provides a chat package connecting to API endpoints by OpenAI
(<https://platform.openai.com/>) to answer questions (about R).
This package provides automated visual inference of residual plots using computer vision models, facilitating diagnostic checks for classical normal linear regression models.
Bayesian approach to multidimensional scaling. The package consists of implementations of the methods of Oh and Raftery (2001) <doi:10.1198/016214501753208690>.
Posterior inference under the convex mixture regression (CoMiRe
) models introduced by Canale, Durante, and Dunson (2018) <doi:10.1111/biom.12917>.
Datasets relating to population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2024.
Metrics of difference for comparing pairs of variables or pairs of maps representing real or categorical variables at original and multiple resolutions.