blm-package: Binomial linear and linear-expit regression model
In blm: Binomial Linear Regression
blm-package R Documentation
Binomial linear and linear-expit regression model
Description
The functions blm and lexpit implement a binomial linear and linear-expit regression model. Estimates are the maximum likelihood estimates with constrained optimization through adaptive barrier method to ensure that estimable probabilities are in the (0,1) interval.
Details
Package: blm
Type: Package
Version: 2013.2.4.4
Date: 2013-8-14
Depends: R (>= 2.10.1), methods
Imports: stats, stats4
License: GPL (>= 2)
LazyLoad: yes
Author(s)
Maintainer: Stephanie Kovalchik <s.a.kovalchik@gmail.com>
References
Kovalchik S, Varadhan R (2013). Fitting Additive Binomial Regression Models with the R Package blm. Journal of Statistical Software, 54(1), 1-18. URL: https://www.jstatsoft.org/v54/i01/.
See Also
constrOptim, blm, lexpit
blm documentation built on Sept. 12, 2022, 9:05 a.m.
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| blm-package | R Documentation |
Binomial linear and linear-expit regression model
Description
The functions blm and lexpit implement a binomial linear and linear-expit regression model. Estimates are the maximum likelihood estimates with constrained optimization through adaptive barrier method to ensure that estimable probabilities are in the (0,1) interval.
Details
| Package: | blm |
| Type: | Package |
| Version: | 2013.2.4.4 |
| Date: | 2013-8-14 |
| Depends: | R (>= 2.10.1), methods |
| Imports: | stats, stats4 |
| License: | GPL (>= 2) |
| LazyLoad: | yes |
Author(s)
Maintainer: Stephanie Kovalchik <s.a.kovalchik@gmail.com>
References
Kovalchik S, Varadhan R (2013). Fitting Additive Binomial Regression Models with the R Package blm. Journal of Statistical Software, 54(1), 1-18. URL: https://www.jstatsoft.org/v54/i01/.
See Also
constrOptim, blm, lexpit
R Package Documentation
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