smicd: Statistical Methods for Interval-Censored Data

Functions that provide statistical methods for interval-censored (grouped) data. The package supports the estimation of linear and linear mixed regression models with interval-censored dependent variables. Parameter estimates are obtained by a stochastic expectation maximization algorithm. Furthermore, the package enables the direct (without covariates) estimation of statistical indicators from interval-censored data via an iterative kernel density algorithm. Survey and Organisation for Economic Co-operation and Development (OECD) weights can be included into the direct estimation (see, Walter, P. (2019) <doi:10.17169/refubium-1621>).

Version:	1.1.2
Imports:	ineq, truncnorm, lme4, MuMIn, formula.tools, mvtnorm, Hmisc, laeken, weights, graphics
Suggests:	knitr, rmarkdown, mlmRev, R.rsp, Kernelheaping
Published:	2021-01-10
Author:	Paul Walter
Maintainer:	Paul Walter <paul.walter at fu-berlin.de>
License:	GPL-2
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	smicd results

Documentation:

Reference manual:	smicd.pdf
Vignettes:	The R Package smicd: Statistical Methods for Interval Censored Data

Downloads:

Package source:	smicd_1.1.2.tar.gz
Windows binaries:	r-devel: smicd_1.1.2.zip, r-release: smicd_1.1.2.zip, r-oldrel: smicd_1.1.2.zip
macOS binaries:	r-release (arm64): smicd_1.1.2.tgz, r-oldrel (arm64): smicd_1.1.2.tgz, r-release (x86_64): smicd_1.1.2.tgz, r-oldrel (x86_64): smicd_1.1.2.tgz
Old sources:	smicd archive

Linking:

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