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, Groß, M., U. Rendtel, T. Schmid, S. Schmon, and N. Tzavidis (2017) <doi:10.1111/rssa.12179>).

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Description file content

Package
smicd
Type
Package
Title
Statistical Methods for Interval Censored Data
Version
1.0.1
Author
Paul Walter
Maintainer
Paul Walter
Description
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) ).
License
GPL-2
Encoding
UTF-8
LazyData
true
Suggests
knitr, rmarkdown, mlmRev, Kernelheaping
RoxygenNote
6.0.1
Imports
ineq, truncnorm, lme4, MuMIn, formula.tools, mvtnorm, spatstat, laeken, weights
NeedsCompilation
no
Packaged
2018-06-20 17:35:09 UTC; paulwalter
Repository
CRAN
Date/Publication
2018-06-20 18:06:32 UTC

install.packages('smicd')

1.0.1

a month ago

Paul Walter

GPL-2

Imports

ineq, truncnorm, lme4, MuMIn, formula.tools, mvtnorm, spatstat, laeken, weights

Suggests

knitr, rmarkdown, mlmRev, Kernelheaping

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