Package: icmm 1.2
icmm: Empirical Bayes Variable Selection via ICM/M Algorithm
Empirical Bayes variable selection via ICM/M algorithm for normal, binary logistic, and Cox's regression. The basic problem is to fit high-dimensional regression which sparse coefficients. This package allows incorporating the Ising prior to capture structure of predictors in the modeling process. More information can be found in the papers listed in the URL below.
Authors:
icmm_1.2.tar.gz
icmm_1.2.zip(r-4.5)icmm_1.2.zip(r-4.4)icmm_1.2.zip(r-4.3)
icmm_1.2.tgz(r-4.4-any)icmm_1.2.tgz(r-4.3-any)
icmm_1.2.tar.gz(r-4.5-noble)icmm_1.2.tar.gz(r-4.4-noble)
icmm_1.2.tgz(r-4.4-emscripten)icmm_1.2.tgz(r-4.3-emscripten)
icmm.pdf |icmm.html✨
icmm/json (API)
NEWS
| # Install 'icmm' in R: |
| install.packages('icmm', repos = c('https://vitara-p.r-universe.dev', 'https://cloud.r-project.org')) |
- initbetaBinomial - Initial values for the regression coefficients used in example for running ICM/M algorithm in binary logistic model
- initbetaCox - Initial values for the regression coefficients used in example for running ICM/M algorithm in Cox's model
- initbetaGaussian - Initial values for the regression coefficients used in example for running ICM/M algorithm in normal linear regression model
- linearrelation - Linear structure of predictors
- simBinomial - Simulated data from the binary logistic regression model
- simCox - Simulated data from Cox's regression model
- simGaussian - Simulated data from the normal linear regression model
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:f9f25daed5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:get.abget.alphaget.betaget.beta.isingget.pseudodata.binomialget.pseudodata.coxget.sigmaget.wpostget.wpriorget.zetaget.zeta.isingicmm
Dependencies:EbayesThreshMASSwavethresh
