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smicd (version 1.1.5)

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

267

Version

1.1.5

License

GPL-2

Maintainer

Last Published

June 9th, 2024

Functions in smicd (1.1.5)

summary.sem

Summarizing Linear and Linear Mixed Models estimated with the SEM
smicd

Statistical Methods for Interval Censored (Grouped) Data
semObject

Fitted semObject
print.summary.sem

Prints a summary.sem Object
semLme

Linear Mixed Regression with Interval-Censored Dependent Variable
kdeAlgoObject

Fitted kdeAlgoObject
plot.sem

Plot Diagnostics for sem Objects
plot.kdeAlgo

Plot Diagnostics for a kdeAlgo Object
print.kdeAlgo

Prints a kdeAlgo Object
semLm

Linear Regression with Interval-Censored Dependent Variable
kdeAlgo

Estimation of Statistical Indicators from Interval-Censored Data
Exam

Exam scores from inner London
print.sem

Prints a sem Object