Functionality | Case study - Amphipod toxicity in Northport, WA sediments | Optimizing FPM Inputs | Variable Importance | Notes on Benchmark Applications and Interpretation | References cited:
Package: RFPM 1.1
Brian Church
RFPM: Floating Percentile Model
Floating Percentile Model with additional functions for optimizing inputs and evaluating outputs and assumptions.
Authors:
RFPM_1.1.tar.gz
RFPM_1.1.tar.gz(r-4.7-any)RFPM_1.1.tar.gz(r-4.6-any)
RFPM_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RFPM/json (API)
| # Install 'RFPM' in R: |
| install.packages('RFPM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- c.northport - Northport Data, _Chironomus dilutus_ Toxicity
- h.northport - Northport Data, _Hyalella azteca_ Toxicity
- h.tristate - Tristate Data, _Hyalella azteca_ Toxicity
- highNoise - Simulated Floating Percentile Model Data, High Random Noise in Toxicity Prediction
- lowNoise - Simulated Floating Percentile Model Data, Low Random Noise in Toxicity Prediction
- perfect - Simulated Data for Floating Percentile Model, Perfect Toxicity Prediction
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:19dc22535f. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 139 | ||
| source / vignettes | OK | 270 | ||
| linux-release-x86_64 | OK | 132 | ||
| wasm-release | OK | 114 |
Exports:chemSigchemSigSelectchemVIcolorGradientcvFPMFPMoptimFPMRFPMtoxCRM
Dependencies:bootclicpp11dplyrgenericsglueKendalllawstatlifecyclemagrittrmvtnormpillarpkgconfigpurrrR6rbibutilsRdpackrlangstringistringrtibbletidyrtidyselectutf8vctrswithr
