dwc.wells

This package allows to predict the condition of a drinking water well based on ML models. The models are trained with results from pump tests and a large set of input variables e.g. the well material, the age and the number of regenerations.

Installation

For details on how to install KWB-R packages checkout our installation tutorial.

### Optionally: specify GitHub Personal Access Token (GITHUB_PAT)
### See here why this might be important for you:
### https://kwb-r.github.io/kwb.pkgbuild/articles/install.html#set-your-github_pat

# Sys.setenv(GITHUB_PAT = "mysecret_access_token")

# Install package "remotes" from CRAN
if (! require("remotes")) {
  install.packages("remotes", repos = "https://cloud.r-project.org")
}

# Install KWB package 'dwc.wells' from GitHub
remotes::install_github("KWB-R/dwc.wells")

Documentation

Release: https://kwb-r.github.io/dwc.wells

Development: https://kwb-r.github.io/dwc.wells/dev