Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

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PerformanceAnalytics — by Brian G. Peterson, 6 months ago

Econometric Tools for Performance and Risk Analysis

Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.

GLMMadaptive — by Dimitris Rizopoulos, 3 months ago

Generalized Linear Mixed Models using Adaptive Gaussian Quadrature

Fits generalized linear mixed models for a single grouping factor under maximum likelihood approximating the integrals over the random effects with an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995) .

DeSciDe — by Cameron Douglas, a month ago

Tool for Unbiased Literature Searching and Gene List Curation

Designed for genomic and proteomic data analysis, enabling unbiased PubMed searching, protein interaction network visualization, and comprehensive data summarization. This package aims to help users identify novel targets within their data sets based on protein network interactions and publication precedence of target's association with research context based on literature precedence. Methods in this package are described in detail in: Douglas (Year) . Key functionalities of this package also leverage methodologies from previous works, such as: - Szklarczyk et al. (2023) - Winter (2017) .

shiny.benchmark — by Douglas Azevedo, 2 years ago

Benchmark the Performance of 'shiny' Applications

Compare performance between different versions of a 'shiny' application based on 'git' references.

MVQuickGraphs — by Douglas Whitaker, 5 years ago

Quick Multivariate Graphs

Functions used for graphing in multivariate contexts. These functions are designed to support produce reasonable graphs with minimal input of graphing parameters. The motivation for these functions was to support students learning multivariate concepts and R - there may be other functions and packages better-suited to practical data analysis. For details about the ellipse methods see Johnson and Wichern (2007, ISBN:9780131877153).

rmdshower — by Doug Ashton, 7 years ago

'R' 'Markdown' Format for 'shower' Presentations

'R' 'Markdown' format for 'shower' presentations, see < https://github.com/shower/shower>.

marg — by Alessandra R. Brazzale, 5 days ago

Approximate Marginal Inference for Regression-Scale Models

Implements likelihood inference based on higher order approximations for linear nonnormal regression models.

SpoMAG — by Douglas Terra Machado, 2 days ago

Probability of Sporulation Potential in MAGs

Implements an ensemble machine learning approach to predict the sporulation potential of metagenome-assembled genomes (MAGs) from uncultivated Firmicutes based on the presence/absence of sporulation-associated genes.

SIPDIBGE — by Gabriel Assuncao, a year ago

Collection of Household Survey Packages Conducted by IBGE

Provides access to packages developed for downloading, reading and analyzing microdata from household surveys in Integrated System of Household Surveys - SIPD conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website < https://www.ibge.gov.br/>.

causaldrf — by Douglas Galagate, 3 years ago

Estimating Causal Dose Response Functions

Functions and data to estimate causal dose response functions given continuous, ordinal, or binary treatments. A description of the methods is given in Galagate (2016) < https://drum.lib.umd.edu/handle/1903/18170>.