smicd: Statistical Methods for Interval-Censored Data
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 |
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