Suggests: ggplot2, knitr, rmarkdown, dplyr, testthat (>= 3.0.1), xml2

Description: Fits logistic regression models by maximum penalized likelihood

Packaged: Fri Aug  5 10:22:25 2005; david

Packaged: Mon Oct  3 12:03:49 2005; david

Packaged: Sat Oct 29 11:18:07 2005; david

Packaged: Thu Jan  5 17:45:38 2006; david

Packaged: Wed Jan 11 08:03:39 2006; david

Packaged: Wed Mar 22 10:16:01 2006; david

Packaged: Tue Oct  9 10:51:45 2007; david

Description: Logistic regression models by maximum penalized likelihood.  Now superseded by the brglm package.
Packaged: Sat May 31 10:13:57 2008; david

Title: Bias Reduction with Missing Binary Response
Authors@R: c(person("Arnab", "Maity", email = "akumar@stat.tamu.edu", role = c("aut", "cre")),
person("Vivek", "Pradhan", email = "vip296@mail.harvard.edu", role = "ctb"),
person("Ujjwal", "Das", email = "ujjwal.das@iimu.ac.in", role = "ctb"))
Description: Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.
Imports: boot, brglm, MASS, profileModel, Rcpp, stats

Authors@R: c(person("Arnab", "Maity", email = "arnab.maity@pfizer.com", role = c("aut", "cre")),
person("Vivek", "Pradhan", email = "vip296@mail.harvard.edu", role = "aut"),
person("Ujjwal", "Das", email = "ujjwal.das@iimu.ac.in", role = "aut"))

Description: Fits novel models for the conditional relative risk, risk difference and odds ratio.

Author: Linbo Wang, Mark Clements, Thomas Richardson
Description: Fits novel models for the conditional relative risk, risk difference and odds ratio <doi:10.1080/01621459.2016.1192546>.

Title: Bayesian Regression Models using Stan
Authors@R: person("Paul-Christian", "Buerkner", email = "paul.buerkner@gmail.com",
Imports: methods, parallel (>= 3.1.3), coda (>= 0.17-1), ggmcmc (>=
Description: Write and fit Bayesian generalized linear mixed models using Stan for full Bayesian inference.
Author: Paul-Christian Buerkner [aut, cre]