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: | 1.1.1 |
| Imports: | ineq, truncnorm, lme4, MuMIn, formula.tools, mvtnorm, Hmisc, laeken, weights, graphics |
| Suggests: | knitr, rmarkdown, mlmRev, R.rsp, Kernelheaping |
| Published: | 2020-07-18 |
| 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_1.1.1.tar.gz |
| Windows binaries: | r-devel: smicd_1.1.1.zip, r-release: smicd_1.1.1.zip, r-oldrel: smicd_1.1.1.zip |
| macOS binaries: | r-release: smicd_1.1.1.tgz, r-oldrel: smicd_1.1.1.tgz |
| Old sources: | smicd archive |
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