Other packages > Find by keyword >

palaeoverse  

Prepare and Explore Data for Palaeobiological Analyses
View on CRAN: Click here


Download and install palaeoverse package within the R console
Install from CRAN:
install.packages("palaeoverse")

Install from Github:
library("remotes")
install_github("cran/palaeoverse")

Install by package version:
library("remotes")
install_version("palaeoverse", "1.4.0")



Attach the package and use:
library("palaeoverse")
Maintained by
Lewis A. Jones
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-31
Latest Update: 2024-10-14
Description:
Provides functionality to support data preparation and exploration for palaeobiological analyses, improving code reproducibility and accessibility. The wider aim of 'palaeoverse' is to bring the palaeobiological community together to establish agreed standards. The package currently includes functionality for data cleaning, binning (time and space), exploration, summarisation and visualisation. Reference datasets (i.e. Geological Time Scales ) and auxiliary functions are also provided. Details can be found in: Jones et al., (2023) .
How to cite:
Lewis A. Jones (2022). palaeoverse: Prepare and Explore Data for Palaeobiological Analyses. R package version 1.4.0, https://cran.r-project.org/web/packages/palaeoverse. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-10-31 15:07), 1.1.0 (2023-01-12 18:50), 1.1.1 (2023-02-16 10:50), 1.2.0 (2023-04-18 17:00), 1.2.1 (2023-08-17 09:50), 1.3.0 (2024-04-16 19:00)
Other packages that cited palaeoverse R package
View palaeoverse citation profile
Other R packages that palaeoverse depends, imports, suggests or enhances
Complete documentation for palaeoverse
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA