Package: smicd
Type: Package
Title: Statistical Methods for Interval-Censored Data
Version: 1.1.5
Author: Paul Walter
Maintainer: Paul Walter <paul.w@gmx.net>
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: 7.2.3
Imports: ineq, truncnorm, lme4, formula.tools, mvtnorm, Hmisc, laeken,
        weights, graphics
VignetteBuilder: R.rsp
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libx11-dev
        zlib1g-dev
Repository: https://chiquadrat.r-universe.dev
Date/Publication: 2024-06-08 14:42:30 UTC
RemoteUrl: https://github.com/chiquadrat/smicd
RemoteRef: HEAD
RemoteSha: d17df1683d78428516f87f0d41c397b7847a1edd
NeedsCompilation: no
Packaged: 2026-07-12 08:30:30 UTC; root