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smicd (version 1.1.3)

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, Walter, P. (2019) ).

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Version

Install

install.packages('smicd')

Monthly Downloads

202

Version

1.1.3

License

GPL-2

Maintainer

Paul Walter

Last Published

November 19th, 2023

Functions in smicd (1.1.3)

kdeAlgo

Estimation of Statistical Indicators from Interval-Censored Data
print.sem

Prints a sem Object
print.summary.sem

Prints a summary.sem Object
semLme

Linear Mixed Regression with Interval-Censored Dependent Variable
plot.kdeAlgo

Plot Diagnostics for a kdeAlgo Object
semLm

Linear Regression with Interval-Censored Dependent Variable
print.kdeAlgo

Prints a kdeAlgo Object
plot.sem

Plot Diagnostics for sem Objects
kdeAlgoObject

Fitted kdeAlgoObject
semObject

Fitted semObject
summary.sem

Summarizing Linear and Linear Mixed Models estimated with the SEM
Exam

Exam scores from inner London
smicd

Statistical Methods for Interval Censored (Grouped) Data