Other packages > Find by keyword >

BioTIMEr  

Tools to Use and Explore the 'BioTIME' Database
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BioTIMEr", "0.2.3")



Attach the package and use:
library("BioTIMEr")
Maintained by
Alban Sagouis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-03
Latest Update: 2024-04-03
Description:
The 'BioTIME' database was first published in 2018 and inspired ideas, questions, project and research article. To make it even more accessible, an R package was created. The 'BioTIMEr' package provides tools designed to interact with the 'BioTIME' database. The functions provided include the 'BioTIME' recommended methods for preparing (gridding and rarefaction) time series data, a selection of standard biodiversity metrics (including species richness, numerical abundance and exponential Shannon) alongside examples on how to display change over time. It also includes a sample subset of both the query and meta data, the full versions of which are freely available on the 'BioTIME' website .
How to cite:
Alban Sagouis (2024). BioTIMEr: Tools to Use and Explore the 'BioTIME' Database. R package version 0.2.3, https://cran.r-project.org/web/packages/BioTIMEr. Accessed 03 Jan. 2025.
Previous versions and publish date:
0.2.2 (2024-04-03 21:53)
Other packages that cited BioTIMEr R package
View BioTIMEr citation profile
Other R packages that BioTIMEr depends, imports, suggests or enhances
Complete documentation for BioTIMEr
Functions, R codes and Examples using the BioTIMEr R package
Full BioTIMEr package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ICglm  
Information Criteria for Generalized Linear Regression
Calculate various information criteria in literature for "lm" and "glm" objects. ...
Download / Learn more Package Citations See dependency  
NBBDesigns  
Neighbour Balanced Block Designs (NBBDesigns)
Neighbour-balanced designs ensure that no treatment is disadvantaged unfairly by its surroundings. T ...
Download / Learn more Package Citations See dependency  
QregBB  
Block Bootstrap Methods for Quantile Regression in Time Series
Implements moving-blocks bootstrap and extended tapered-blocks bootstrap, as well as smooth versions ...
Download / Learn more Package Citations See dependency  
kosel  
Variable Selection by Revisited Knockoffs Procedures
Performs variable selection for many types of L1-regularised regressions using the revisited knockof ...
Download / Learn more Package Citations See dependency  
DiscreteLaplace  
Discrete Laplace Distributions
Probability mass function, distribution function, quantile function, random generation and estimatio ...
Download / Learn more Package Citations See dependency  

23,440

R Packages

202,297

Dependencies

63,567

Author Associations

23,434

Publication Badges

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