Davis Vaughan's repositories
admiral
ADaM in R Asset Library
dodgr
Distances on Directed Graphs in R
dtrackr
An R library for managing and documenting dplyr data pipelines
ethnobotanyR
R package for quantitative ethnobotany
fqar
The fqar package provides R tools for downloading and analyzing floristic quality assessment data from www.universalFQA.org
GauPro
R package for Gaussian process modeling
ggblanket
Simplify ggplot2 visualisation
gratia
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
hablar
Intuitive NA-handling in R
huxtable
An R package to create styled tables in multiple output formats, with a friendly, modern interface.
IPEDSuploadables
Producing uploadable txt files for IPEDS reporting, one submission at a time
kmscv-1
:exclamation: This is a read-only mirror of the CRAN R package repository. kmscv — K-Means Based Stratified Resampling Report bugs for this package: https://github.com/sametsoekel/kmscv/issues
lans2r
Import and process Look@NanoSIMS data in R
multicolor
Add multiple colors to your R console and RMarkdown output :art:
pknca
An R package is designed to perform all noncompartmental analysis (NCA) calculations for pharmacokinetic (PK) data.
PVplr
:exclamation: This is a read-only mirror of the CRAN R package repository. PVplr — Performance Loss Rate Analysis Pipeline
seecolor
Extract colors used in an R object
simplevis
Simple visualisation with ggplot2 and leaflet wrappers
tfrmt
r package for formatting tables
tidyplus
:exclamation: This is a read-only mirror of the CRAN R package repository. tidyplus — Additional 'tidyverse' Functions
tidyterra
tidyverse and ggplot2 methods for terra spatial objects
tidytree
:shower:A Tidy Tool for Phylogenetic Tree Data Manipulation
track2kba
An R package that facilitates the identification of animal aggregations of potential conservation significance based on individual tracking data. Key functions include utilities to identify and summarise individual foraging trips, estimate utilisation distributions, and overlay distributions to identify important aggregation areas.