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, Groß, M., U. Rendtel, T. Schmid, S. Schmon, and N. Tzavidis (2017) <doi:10.1111/rssa.12179>).
| Version: | 1.0.3 |
| Imports: | ineq, truncnorm, lme4, MuMIn, formula.tools, mvtnorm, spatstat, laeken, weights |
| Suggests: | knitr, rmarkdown, mlmRev, Kernelheaping, R.rsp |
| Published: | 2019-02-11 |
| Author: | Paul Walter |
| Maintainer: | Paul Walter <paul.walter at fu-berlin.de> |
| 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_1.0.3.tar.gz |
| Windows binaries: | r-devel: smicd_1.0.3.zip, r-release: smicd_1.0.3.zip, r-oldrel: smicd_1.0.3.zip |
| OS X binaries: | r-release: smicd_1.0.3.tgz, r-oldrel: smicd_1.0.3.tgz |
| Old sources: | smicd archive |
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