smicd v1.0.3

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by Paul Walter View Source

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, Gro<c3><9f>, M., U. Rendtel, T. Schmid, S. Schmon, and N. Tzavidis (2017) <doi:10.1111/rssa.12179>).

Functions in smicd

Name	Description
print.sem	Prints a sem Object
print.summary.sem	Prints a summary.sem Object
plot.sem	Plot Diagnostics for sem Objects
semLme	Linear Mixed Regression with Interval Censored Dependent Variable
semLm	Linear Regression with Interval Censored Dependent Variable
print.kdeAlgo	Prints a kdeAlgo Object
semObject	Fitted semObject
smicd	Statistical Methods for Interval Censored (Grouped) Data
kdeAlgoObject	Fitted kdeAlgoObject
plot.kdeAlgo	Plot Diagnostics for a kdeAlgo Object
summary.sem	Summarizing Linear and Linear Mixed Models with SEM
Exam	Exam scores from inner London
kdeAlgo	Estimation of Statistical Indicators from Interval Censored Data
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Vignettes of smicd

Name
vignetteSmicd.pdf.asis
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Details

Type	Package
License	GPL-2
Encoding	UTF-8
LazyData	true
RoxygenNote	6.0.1
VignetteBuilder	R.rsp
NeedsCompilation	no
Packaged	2019-02-11 15:18:50 UTC; paulwalter
Repository	CRAN
Date/Publication	2019-02-11 16:00:07 UTC

imports	formula.tools , ineq , laeken , lme4 , MuMIn , mvtnorm , spatstat , truncnorm , weights
suggests	Kernelheaping , knitr , mlmRev , R.rsp , rmarkdown
Contributors	Paul Walter