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smicd  

Statistical Methods for Interval-Censored Data
View on CRAN: Click here


Download and install smicd package within the R console
Install from CRAN:
install.packages("smicd")

Install from Github:
library("remotes")
install_github("cran/smicd")

Install by package version:
library("remotes")
install_version("smicd", "1.1.5")



Attach the package and use:
library("smicd")
Maintained by
Paul Walter
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-12
Latest Update: 2024-06-09
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) <doi:10.17169/refubium-1621>).
How to cite:
Paul Walter (2018). smicd: Statistical Methods for Interval-Censored Data. R package version 1.1.5, https://cran.r-project.org/web/packages/smicd. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2018-06-12 12:33), 1.0.1 (2018-06-20 20:06), 1.0.2 (2018-09-10 11:10), 1.0.3 (2019-02-11 17:00), 1.1.0 (2020-04-30 23:20), 1.1.1 (2020-07-18 11:50), 1.1.2 (2021-01-10 21:30), 1.1.3 (2023-11-19 15:00), 1.1.4 (2024-06-07 12:40)
Other packages that cited smicd R package
View smicd citation profile
Other R packages that smicd depends, imports, suggests or enhances
Complete documentation for smicd
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