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

Downloads:

Reference manual: smicd.pdf
Vignettes: The R Package smicd: Statistical Methods for Interval Censored Data
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: smicd_1.1.2.tgz, r-oldrel: smicd_1.1.2.tgz
Old sources: smicd archive

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