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

Documentation:

Reference manual:

sptm.pdf

Downloads:

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

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