Package: DALSM 0.9.5

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:Philippe Lambert [aut, cre]

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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

Datasets:

On CRAN:

Conda:

3.68 score 19 scripts 512 downloads 21 exports 4 dependencies

Last updated 6 days agofrom:f5e1b89491. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winOKMar 28 2025
R-4.5-macOKMar 28 2025
R-4.5-linuxOKMar 28 2025
R-4.4-winOKMar 28 2025
R-4.4-macOKMar 28 2025
R-4.4-linuxOKMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

Exports:AIC.DALSMBIC.DALSMcenteredBasis.genDALSMDALSM_additiveDens1ddensityLPSDesignFormulalogDet.funlogEvidlogEvid.DALSMPcal.funplot.DALSMplot.densLPSplotRegionpredict.DALSMprint.DALSMprint.densLPSqknotssweighted.hist

Dependencies:cubicBsplinesMASSplyrRcpp

Readme and manuals

Help Manual

Help pageTopics
Akaike Information Criterion (AIC) of a DALSM object.AIC.DALSM
Bayesian Information Criterion (BIC) of a DALSM object.BIC.DALSM
Generation of a recentered cubic B-spline basis matrix in additive modelscenteredBasis.gen
Fit a double additive location-scale model (DALSM) with a flexible error distributionDALSM
Extraction of the estimated additive terms in a 'DALSM.object'DALSM_additive
Income dataDALSM_IncomeData
Object resulting from the fit of a double additive location-scale model (DALSM).DALSM.object
Object creation for density estimation from right- or interval-censored dataDens1d
Object created by 'Dens1d' to prepare for density estimation from censored data using 'densityLPS'Dens1d.object
Constrained density estimation from censored data using Laplace P-splinesdensityLPS
Object generated by function 'densityLPS'densLPS.object
Log-determinant of a positive-definite matrixlogDet.fun
Generic function for computing log-evidencelogEvid
Log-evidence of a DALSM object.logEvid.DALSM
Generation of the penalty matrix for an additive model based on P-splinesPcal.fun
Plot visual information on a 'DALSM.object'plot.DALSM
Plot the density estimate in a 'densLPS.object'plot.densLPS
Plot a credible region for a curve together with its point estimatesplotRegion
Prediction based on a DALSM modelpredict.DALSM
Print summary information on a 'DALSM.object'print.DALSM
Print a summary of the information in a 'densLPS.object'print.densLPS
Specification of knots in a cubic P-spline modelqknots
Histogram from weighted dataweighted.hist