Package: MIAmaxent 1.3.1.9000
MIAmaxent: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
Tools for training, selecting, and evaluating maximum entropy (and standard logistic regression) distribution models. This package provides tools for user-controlled transformation of explanatory variables, selection of variables by nested model comparison, and flexible model evaluation and projection. It follows principles based on the maximum- likelihood interpretation of maximum entropy modeling, and uses infinitely- weighted logistic regression for model fitting. The package is described in Vollering et al. (2019; <doi:10.1002/ece3.5654>).
Authors:
MIAmaxent_1.3.1.9000.tar.gz
MIAmaxent_1.3.1.9000.zip(r-4.5)MIAmaxent_1.3.1.9000.zip(r-4.4)MIAmaxent_1.3.1.9000.zip(r-4.3)
MIAmaxent_1.3.1.9000.tgz(r-4.4-any)MIAmaxent_1.3.1.9000.tgz(r-4.3-any)
MIAmaxent_1.3.1.9000.tar.gz(r-4.5-noble)MIAmaxent_1.3.1.9000.tar.gz(r-4.4-noble)
MIAmaxent_1.3.1.9000.tgz(r-4.4-emscripten)MIAmaxent_1.3.1.9000.tgz(r-4.3-emscripten)
MIAmaxent.pdf |MIAmaxent.html✨
MIAmaxent/json (API)
NEWS
| # Install 'MIAmaxent' in R: |
| install.packages('MIAmaxent', repos = c('https://julienvollering.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/julienvollering/miamaxent/issues
- toydata_dvs - Derived variables and transformation functions, from toy data.
- toydata_seldvs - Selected derived variables accompanied by selection trails, from toy data.
- toydata_selevs - Selected explanatory variables accompanied by selection trails, from toy data.
- toydata_sp1po - Occurrence and environmental toy data.
Last updated 3 months agofrom:0115aab10b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win | OK | Nov 21 2024 |
| R-4.5-linux | OK | Nov 21 2024 |
| R-4.4-win | OK | Nov 21 2024 |
| R-4.4-mac | OK | Nov 21 2024 |
| R-4.3-win | OK | Nov 21 2024 |
| R-4.3-mac | OK | Nov 21 2024 |
Exports:calculateRVAchooseModelderiveVarsmodelFromLambdasplotFOPplotRespplotResp2projectModelreadDataselectDVforEVselectEVtestAUC
Dependencies:classclidplyre1071fansigenericsgluelifecyclemagrittrMASSpillarpkgconfigproxyR6Rcpprlangterratibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculates variable contributions as RVA | calculateRVA |
| Trains a model containing the explanatory variables specified. | chooseModel |
| Derive variables by transformation. | deriveVars |
| Plot Frequency of Observed Presence (FOP). | plotFOP |
| Plot model response. | plotResp plotResp2 |
| Project model across explanatory data. | projectModel |
| Read in data object from files. | readData |
| Select parsimonious sets of derived variables. | selectDVforEV |
| Select parsimonious set of explanatory variables. | selectEV |
| Calculate model AUC with test data. | testAUC |
| Derived variables and transformation functions, from toy data. | toydata_dvs |
| Selected derived variables accompanied by selection trails, from toy data. | toydata_seldvs |
| Selected explanatory variables accompanied by selection trails, from toy data. | toydata_selevs |
| Occurrence and environmental toy data. | toydata_sp1po |
