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) ).


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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1.1.2 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, Hmisc, laeken, weights, graphics

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

See at CRAN