HQM: Superefficient Estimation of Future Conditional Hazards Based on Marker Information

Provides a nonparametric smoothed kernel density estimator for the future conditional hazard when time-dependent covariates are present. It also provides pointwise and uniform confidence bands and a bandwidth selection.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stats, utils
Published: 2022-09-12
Author: Alex Isakson [aut, cre], Dimitrios Bagkavos [ctb], Enno Mammen [ctb], Jens Nielsen [ctb], Cecile Proust-Lima [ctb]
Maintainer: Alex Isakson <alex.isakson at bayes.city.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: HQM results

Documentation:

Reference manual: HQM.pdf

Downloads:

Package source: HQM_0.1.0.tar.gz
Windows binaries: r-devel: HQM_0.1.0.zip, r-release: HQM_0.1.0.zip, r-oldrel: HQM_0.1.0.zip
macOS binaries: r-release (arm64): HQM_0.1.0.tgz, r-oldrel (arm64): HQM_0.1.0.tgz, r-release (x86_64): HQM_0.1.0.tgz

Linking:

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