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networkscaleup  

Network Scale-Up Models for Aggregated Relational Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("networkscaleup", "0.1-2")



Attach the package and use:
library("networkscaleup")
Maintained by
Ian Laga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-06
Latest Update: 2022-04-06
Description:
Provides a variety of Network Scale-up Models for researchers to analyze Aggregated Relational Data, mostly through the use of Stan. In this version, the package implements models from Laga, I., Bao, L., and Niu, X (2021) , Zheng, T., Salganik, M. J., and Gelman, A. (2006) , Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A., and Bernard, H. R. (1998) , and Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and Johnsen, E. C. (1998) .
How to cite:
Ian Laga (2022). networkscaleup: Network Scale-Up Models for Aggregated Relational Data. R package version 0.1-2, https://cran.r-project.org/web/packages/networkscaleup
Previous versions and publish date:
0.1-1 (2022-04-06 09:10)
Other packages that cited networkscaleup R package
View networkscaleup citation profile
Other R packages that networkscaleup depends, imports, suggests or enhances
Functions, R codes and Examples using the networkscaleup R package
Some associated functions: correlatedStan . example_data . killworth . networkscaleup-package . overdispersed . overdispersedStan . scaling . 
Some associated R codes: correlatedStan.R . data.R . killworth.R . networkscaleup-package.R . overdispersed.R . overdispersedStan.R . scaling.R . stanmodels.R .  Full networkscaleup package functions and examples
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