Other packages > Find by keyword >

WES  

Tools for Analyzing Wastewater and Environmental Sampling Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("WES", "1.0.0")



Attach the package and use:
library("WES")
Maintained by
John R Giles
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-12
Latest Update: 2024-07-12
Description:
Provides reproducible functions for collating and analyzing data from environmental sampling studies. Environmental Sampling (ES) of infectious diseases involves collecting samples from various sources (such as sewage, water, air, soil, or surfaces) to monitor the presence of pathogens in the environment. Analysis of ES data often requires the calculation of Real-Time Quantitative PCR (qPCR) variables, normalizing ES observations, and analyzing sampling site characteristics. To help reduce the complexity of these analyses we have implemented tools that assist with establishing standardized ES data formats, absolute and relative quantification of qPCR data, estimation of qPCR amplification efficiency, and collating open-source spatial data for sampling sites.
How to cite:
John R Giles (2024). WES: Tools for Analyzing Wastewater and Environmental Sampling Data. R package version 1.0.0, https://cran.r-project.org/web/packages/WES. Accessed 03 Jan. 2025.
Previous versions and publish date:
1.0.0 (2024-07-12 16:00)
Other packages that cited WES R package
View WES citation profile
Other R packages that WES depends, imports, suggests or enhances
Complete documentation for WES
Functions, R codes and Examples using the WES R package
Full WES 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

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  
DiscreteLaplace  
Discrete Laplace Distributions
Probability mass function, distribution function, quantile function, random generation and estimatio ...
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  
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  
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  
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  

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