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

Found 132 packages in 0.04 seconds

R2ucare — by Olivier Gimenez, 8 months ago

Goodness-of-Fit Tests for Capture-Recapture Models

Performs goodness-of-fit tests for capture-recapture models as described by Gimenez et al. (2018) . Also contains several functions to process capture-recapture data.

popbayes — by Nicolas Casajus, 3 months ago

Bayesian Model to Estimate Population Trends from Counts Series

Infers the trends of one or several animal populations over time from series of counts. It does so by accounting for count precision (provided or inferred based on expert knowledge, e.g. guesstimates), smoothing the population rate of increase over time, and accounting for the maximum demographic potential of species. Inference is carried out in a Bayesian framework. This work is part of the FRB-CESAB working group AfroBioDrivers < https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/afrobiodrivers/>.

rxode2 — by Matthew L. Fidler, 2 days ago

Facilities for Simulating from ODE-Based Models

Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The vendored 'SUNDIALS' 'CVODE' sources and headers are released under the BSD-3-Clause license. The information is available in the inst/COPYRIGHTS.

rnetcarto — by Daniel B. Stouffer, 4 years ago

Fast Network Modularity and Roles Computation by Simulated Annealing (Rgraph C Library Wrapper for R)

Provides functions to compute the modularity and modularity-related roles in networks. It is a wrapper around the rgraph library (Guimera & Amaral, 2005, ).

PINMA — by Hisashi Noma, 3 years ago

Improved Methods for Constructing Prediction Intervals for Network Meta-Analysis

Improved methods to construct prediction intervals for network meta-analysis. The parametric bootstrap and Kenward-Roger-type adjustment by Noma et al. (2022) are implementable.

MazamaSpatialUtils — by Jonathan Callahan, 2 years ago

Spatial Data Download and Utility Functions

A suite of conversion functions to create internally standardized spatial polygons data frames. Utility functions use these data sets to return values such as country, state, time zone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)

googleAnalyticsR — by Erik Grönroos, 2 years ago

Google Analytics API into R

Interact with the Google Analytics APIs < https://developers.google.com/analytics/>, including the Core Reporting API (v3 and v4), Management API, User Activity API GA4's Data API and Admin API and Multi-Channel Funnel API.

RCarb — by Sebastian Kreutzer, 3 months ago

Dose Rate Modelling of Carbonate-Rich Samples

Translation of the 'MATLAB' program 'Carb' (Nathan and Mauz 2008 ; Mauz and Hoffmann 2014) for dose rate modelling for carbonate-rich samples in the context of trapped charged dating (e.g., luminescence dating) applications.

diario — by Andre Leite, a month ago

'R' Interface to the 'Diariodeobras' Application

Provides a set of functions for securely storing 'API' tokens and interacting with the < https://diariodeobras.net> system. Includes convenient wrappers around the 'httr2' package to perform authenticated requests, retrieve project details, tasks, reports, and more.

highlightr — by Rachel Rogers, 3 months ago

Highlight Conserved Edits Across Versions of a Document

Input multiple versions of a source document, and receive HTML code for a highlighted version of the source document indicating the frequency of occurrence of phrases in the different versions. This method is described in Chapter 3 of Rogers (2024) < https://digitalcommons.unl.edu/dissertations/AAI31240449/>.