1. Introduction | 2. Methods | The GAMLASSO algorithm | Background on fitting a generalized additive model (gam) | 3. Examples | Simulated dataset | Gaussian GAMLASSO model with plsmselect | Poisson GAMLASSO regression with plsmselect | Binary logistic GAMLASSO regression with plsmselect | Binomial counts GAMLASSO model with plsmselect | Cox GAMLASSO with plsmselect | A. Appendix | Data simulation (details) | References
Package: plsmselect 0.2.0
plsmselect: Linear and Smooth Predictor Modelling with Penalisation and Variable Selection
Fit a model with potentially many linear and smooth predictors. Interaction effects can also be quantified. Variable selection is done using penalisation. For l1-type penalties we use iterative steps alternating between using linear predictors (lasso) and smooth predictors (generalised additive model).
Authors:
plsmselect_0.2.0.tar.gz
plsmselect_0.2.0.zip(r-4.7)plsmselect_0.2.0.zip(r-4.6)plsmselect_0.2.0.zip(r-4.5)
plsmselect_0.2.0.tgz(r-4.6-any)plsmselect_0.2.0.tgz(r-4.5-any)
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plsmselect_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
plsmselect/json (API)
| # Install 'plsmselect' in R: |
| install.packages('plsmselect', repos = c('https://indrayudhghosal.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- simData - Simulated dataset to be used for gamlasso
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d93f1849b3. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 198 | ||
| linux-release-x86_64 | OK | 138 | ||
| macos-release-arm64 | OK | 186 | ||
| macos-oldrel-arm64 | OK | 178 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 104 | ||
| wasm-release | OK | 109 |
Exports:cumbasehazgamlassogamlassoChecksgamlassoFit
Dependencies:clicodetoolsdplyrforeachgenericsglmnetglueiteratorslatticelifecyclemagrittrMatrixmgcvnlmepillarpkgconfigR6RcppRcppEigenrlangshapesurvivaltibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Internal Function | cbh |
| Function to create the simulated dataset | create_dataset |
| Cumulative Baseline Hazard of a gamlasso object | cumbasehaz |
| Internal Function | find_family |
| Internal Function | formula_setup |
| Fitting a gamlasso model | gamlasso gamlasso.default gamlasso.formula |
| Checking data before fitting gamlasso | gamlassoChecks |
| The function fitting a gamlasso model | gamlassoFit |
| Internal Function | lasso_gam_loop |
| Internal Function | meandist |
| Internal Function | nzeros |
| Prediction from a fitted gamlasso model | predict.gamlasso |
| Print a gamlasso object | print.gamlasso |
| Internal Function | readconfirm |
| Simulated dataset to be used for gamlasso | simData |
| Summary for a gamlasso fit | summary.gamlasso |
