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gjam  

Generalized Joint Attribute Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gjam", "2.6.2")



Attach the package and use:
library("gjam")
Maintained by
James S. Clark
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-04
Latest Update: 2022-05-23
Description:
Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) .
How to cite:
James S. Clark (2016). gjam: Generalized Joint Attribute Modeling. R package version 2.6.2, https://cran.r-project.org/web/packages/gjam. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2016-01-04 23:10), 2.0 (2016-10-04 21:50), 2.1.1 (2016-12-14 18:36), 2.1.3 (2017-04-24 07:46), 2.1.4 (2017-05-11 17:59), 2.1.5 (2017-07-31 21:36), 2.1.6 (2017-09-11 13:21), 2.1.7 (2017-12-22 14:40), 2.1.8 (2018-01-04 19:09), 2.1.9 (2018-02-27 15:32), 2.1 (2016-11-29 15:08), 2.2.0 (2018-03-26 22:50), 2.2.1 (2018-03-30 00:02), 2.2.2 (2018-05-22 16:17), 2.2.3 (2018-05-30 18:05), 2.2.4 (2018-06-02 23:45), 2.2.5 (2018-08-02 16:30), 2.2.6 (2018-09-22 15:40), 2.2.7 (2019-04-17 18:50), 2.3.1 (2020-03-18 15:40), 2.3.2 (2020-06-15 19:20), 2.3.4 (2021-02-10 22:10), 2.3.5 (2021-03-29 21:50), 2.3.6 (2021-04-11 12:30), 2.3.7 (2021-05-24 14:10), 2.3.8 (2021-07-06 10:40), 2.3.9 (2021-07-14 09:20), 2.3 (2020-03-02 13:00), 2.5.1 (2022-01-09 21:22), 2.5.2 (2022-02-15 16:20), 2.5 (2021-10-12 06:50), 2.6 (2022-04-15 17:32)
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