Package: DALSM 0.9.2
DALSM: Nonparametric Double Additive Location-Scale Model (DALSM)
Fit of a double additive location-scale model with a nonparametric error distribution from possibly right- or interval-censored data. The additive terms in the location and dispersion submodels, as well as the unknown error distribution in the location-scale model, are estimated using Laplace P-splines. For more details, see Lambert (2021) <doi:10.1016/j.csda.2021.107250>.
Authors:
DALSM_0.9.2.tar.gz
DALSM_0.9.2.zip(r-4.5)DALSM_0.9.2.zip(r-4.4)DALSM_0.9.2.zip(r-4.3)
DALSM_0.9.2.tgz(r-4.4-any)DALSM_0.9.2.tgz(r-4.3-any)
DALSM_0.9.2.tar.gz(r-4.5-noble)DALSM_0.9.2.tar.gz(r-4.4-noble)
DALSM_0.9.2.tgz(r-4.4-emscripten)DALSM_0.9.2.tgz(r-4.3-emscripten)
DALSM.pdf |DALSM.html✨
DALSM/json (API)
# Install 'DALSM' in R: |
install.packages('DALSM', repos = c('https://plambertuliege.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/plambertuliege/dalsm/issues
- DALSM_IncomeData - Income data
Last updated 18 days agofrom:8dce80d6de. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
R-4.4-win | OK | Nov 05 2024 |
R-4.4-mac | OK | Nov 05 2024 |
R-4.3-win | OK | Nov 05 2024 |
R-4.3-mac | OK | Nov 05 2024 |
Exports:centeredBasis.genDALSMDALSM_additiveDens1ddensityLPSDesignFormulalogDet.funPcal.funplot.DALSMplot.densLPSplotRegionpredict.DALSMprint.DALSMprint.densLPSqknotssweighted.hist
Dependencies:cubicBsplinesMASSplyrRcpp