1 Background | 2 Materials and methods | 2.1 A synthetic dataset for simulation of sensitivities to different types of error | 2.2 A synthetic dataset for simulation of sensitivities to dataset properties | 3 Results | 3.1 The synthetic datasets | 3.2 Simulation results | 4 Discussion | 5 Reference
Package: valmetrics 1.0.0
valmetrics: Metrics and Plots for Model Evaluation
Functions for metrics and plots for model evaluation. Based on vectors of observed and predicted values. Method: Kristin Piikki, Johanna Wetterlind, Mats Soderstrom and Bo Stenberg (2021). <doi:10.1111/SUM.12694>.
Authors:
valmetrics_1.0.0.tar.gz
valmetrics_1.0.0.zip(r-4.7-any)valmetrics_1.0.0.zip(r-4.6-any)valmetrics_1.0.0.zip(r-4.5-any)
valmetrics_1.0.0.tgz(r-4.6-any)valmetrics_1.0.0.tgz(r-4.5-any)
valmetrics_1.0.0.tar.gz(r-4.7-any)valmetrics_1.0.0.tar.gz(r-4.6-any)
valmetrics_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
valmetrics/json (API)
| # Install 'valmetrics' in R: |
| install.packages('valmetrics', repos = c('https://kriper0217.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9964419ce0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 126 | ||
| source / vignettes | OK | 182 | ||
| linux-release | OK | 109 | ||
| macos-release | OK | 153 | ||
| macos-oldrel | OK | 168 | ||
| windows-devel | OK | 66 | ||
| windows-release | OK | 60 | ||
| windows-oldrel | OK | 57 | ||
| wasm-release | OK | 108 |
Exports:acadjr2aicallmetricseiqrlclcccmadmaemapemaremdemdsememsdrmsenmsenrmsenuprecisionrr2rmdsermserpdrpiqsdeskewsmapessesstvalplot
Dependencies:
