Found 143 packages in 0.01 seconds
Progressive Web App Support for Shiny
Adds Progressive Web App support for Shiny apps, including desktop and mobile installations.
Aggregate Multiple ROC Curves into One Global ROC
Aggregates multiple Receiver Operating Characteristic (ROC) curves obtained from different sources into one global ROC. Additionally, it’s also possible to calculate the aggregated precision-recall (PR) curve.
Robust Selection Algorithm
An implementation of algorithms for estimation of the graphical lasso regularization parameter described in Pedro Cisneros-Velarde, Alexander Petersen and Sang-Yun Oh (2020) < http://proceedings.mlr.press/v108/cisneros20a.html>.
CSS Layouts (Grid and Flexbox) Implementation for R/Shiny
Allows easy creation of CSS layouts (grid and flexbox) directly from R without added CSS.
Conesa Colors Palette
Provides a collection of palettes designed to integrate with 'ggplot', reflecting the color schemes associated with 'ConesaLab'.
Sound Waves Onto Morphometric Data
Implement a promising, and yet little explored protocol for bioacoustical analysis, the eigensound method by MacLeod, Krieger and Jones (2013)
Spider Knowledge Online
Allows the user to connect with the World Spider Catalogue (WSC; < https://wsc.nmbe.ch/>) and the World Spider Trait (WST; < https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; < https://www.gbif.org/>), and mapping.
Spatial Interpolation of Genetic Data
The spatial interpolation of genetic distances between samples is based on a modified kriging method that accepts a genetic distance matrix and generates a map of probability of lineage presence. This package also offers tools to generate a map of potential contact zones between groups with user-defined thresholds in the tree to account for old and recent divergence. Additionally, it has functions for IDW interpolation using genetic data and midpoints.
Research Assessment Tools
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.
Bayesian LDA for Mixed-Membership Clustering Analysis
Estimates the Bayesian LDA model for mixed-membership clustering based on different types of data
(i.e., Multinomial, Bernoulli, and Binomial entries). Albuquerque, Valle and Li (2019)