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cond  

Approximate Conditional Inference for Logistic and Loglinear Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cond", "1.2-3.1")



Attach the package and use:
library("cond")
Maintained by
Alessandra R. Brazzale
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-24
Latest Update: 2018-04-16
Description:
Higher order likelihood-based inference for logistic and loglinear models.
How to cite:
Alessandra R. Brazzale (2009). cond: Approximate Conditional Inference for Logistic and Loglinear Models. R package version 1.2-3.1, https://cran.r-project.org/web/packages/cond. Accessed 26 Apr. 2025.
Previous versions and publish date:
1.1-3 (2009-09-24 22:13), 1.2-0 (2009-10-05 17:02), 1.2-1 (2011-11-25 16:55), 1.2-2 (2014-04-03 14:00), 1.2-3 (2014-06-27 18:40)
Other packages that cited cond R package
View cond citation profile
Other R packages that cond depends, imports, suggests or enhances
Complete documentation for cond
Functions, R codes and Examples using the cond R package
Some associated functions: aids . airway . babies . cond-package . cond.glm . cond . condject . dormicum . family.cond . family.summary.cond . fraudulent . fungal . plot.cond . print.cond . print.summary.cond . rabbits . summary.cond . urine . 
Some associated R codes: cond.R . zzz.R .  Full cond package functions and examples
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