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, GroƟ, M., U. Rendtel, T. Schmid, S. Schmon, and N. Tzavidis (2017) ).


smicd 1.0.3

  • Bugfix in function kdeAlgo and standardError.est

smicd 1.0.2

  • New Vignette

smicd 1.0.1

  • Bugfix in function standardError.est which has implemented the bootstrap called from function kdeAlgo

smicd 1.0.0

  • First upload of the package

Reference manual

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1.0.3 by Paul Walter, a year ago

Browse source code at

Authors: Paul Walter

Documentation:   PDF Manual  

GPL-2 license

Imports ineq, truncnorm, lme4, MuMIn,, mvtnorm, spatstat, laeken, weights

Suggests knitr, rmarkdown, mlmRev, Kernelheaping, R.rsp

See at CRAN