Package: smicd
Type: Package
Title: Statistical Methods for Interval-Censored Data
Version: 1.1.2
Author: Paul Walter
Maintainer: Paul Walter <paul.walter@fu-berlin.de>
Description: 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>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, mlmRev, R.rsp, Kernelheaping
RoxygenNote: 7.1.1
Imports: ineq, truncnorm, lme4, MuMIn, formula.tools, mvtnorm, Hmisc,
        laeken, weights, graphics
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2021-01-10 20:14:18 UTC; Paul
Repository: CRAN
Date/Publication: 2021-01-10 20:30:02 UTC
Built: R 4.0.2; ; 2021-01-11 12:46:37 UTC; unix
