sptm: SemiParametric Transformation Model Methods

Implements semiparametric transformation model two-phase estimation using calibration weights. The method in Fong and Gilbert (2015) Calibration weighted estimation of semiparametric transformation models for two-phase sampling. Statistics in Medicine <doi:10.1002/sim.6439>.

Version: 2019.11-25
Depends: R (≥ 3.1.3), survival, survey, kyotil
Imports: methods
Suggests: RUnit, mvtnorm, Matrix, MASS
Published: 2019-11-26
Author: Youyi Fong [cre], Krisztian Sebestyen [aut], Martin Maechler [ctb]
Maintainer: Youyi Fong <youyifong at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: sptm results


Reference manual: sptm.pdf


Package source: sptm_2019.11-25.tar.gz
Windows binaries: r-prerel: sptm_2019.11-25.zip, r-release: sptm_2019.11-25.zip, r-oldrel: sptm_2019.11-25.zip
macOS binaries: r-prerel (arm64): sptm_2019.11-25.tgz, r-release (arm64): sptm_2019.11-25.tgz, r-oldrel (arm64): sptm_2019.11-25.tgz, r-prerel (x86_64): sptm_2019.11-25.tgz, r-release (x86_64): sptm_2019.11-25.tgz
Old sources: sptm archive


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