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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: | 1.1.5 |
Imports: | ineq, truncnorm, lme4, formula.tools, mvtnorm, Hmisc, laeken, weights, graphics |
Suggests: | knitr, rmarkdown, mlmRev, R.rsp, Kernelheaping |
Published: | 2024-06-09 |
DOI: | 10.32614/CRAN.package.smicd |
Author: | Paul Walter |
Maintainer: | Paul Walter <paul.w at gmx.net> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | smicd results |
Reference manual: | smicd.pdf |
Vignettes: |
The R Package smicd: Statistical Methods for Interval Censored Data |
Package source: | smicd_1.1.5.tar.gz |
Windows binaries: | r-devel: smicd_1.1.5.zip, r-release: smicd_1.1.5.zip, r-oldrel: smicd_1.1.5.zip |
macOS binaries: | r-release (arm64): smicd_1.1.5.tgz, r-oldrel (arm64): smicd_1.1.5.tgz, r-release (x86_64): smicd_1.1.5.tgz, r-oldrel (x86_64): smicd_1.1.5.tgz |
Old sources: | smicd archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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