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smicd (version 1.0.3)

Statistical Methods for Interval Censored Data

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, Gro<9f>, M., U. Rendtel, T. Schmid, S. Schmon, and N. Tzavidis (2017) ).

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Version

Install

install.packages('smicd')

Monthly Downloads

191

Version

1.0.3

License

GPL-2

Maintainer

Paul Walter

Last Published

February 11th, 2019

Functions in smicd (1.0.3)

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