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SOR  

Estimation using Sequential Offsetted Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SOR", "0.23.1")



Attach the package and use:
library("SOR")
Maintained by
Lee McDaniel
[Scholar Profile | Author Map]
First Published: 2014-09-15
Latest Update: 2018-04-25
Description:
Estimation for longitudinal data following outcome dependent sampling using the sequential offsetted regression technique.Includes support for binary, count, and continuous data.The first regression is a logistic regression, which uses a known ratio (the probability of being sampled given that the subject/observation was referred divided by the probability of being sampled given that the subject/observation was no referred) as an offset to estimate the probability of being referred given outcome and covariates.The second regression uses this estimated probability to calculate the mean population response given covariates.
How to cite:
Lee McDaniel (2014). SOR: Estimation using Sequential Offsetted Regression. R package version 0.23.1, https://cran.r-project.org/web/packages/SOR. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.22 (2014-09-15 17:05), 0.23.0 (2016-12-09 22:56)
Other packages that cited SOR R package
View SOR citation profile
Other R packages that SOR depends, imports, suggests or enhances
Complete documentation for SOR
Functions, R codes and Examples using the SOR R package
Some associated functions: sor . 
Some associated R codes: binomSOR.R . common.R . geemR.R . normSOR.R . poisSOR.R . sor.R .  Full SOR package functions and examples
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