Imports: boot, glmnet, mgcv, ggplot2, zoo, reshape2, stats, utils,

Authors@R: c(person("Spyros", "Balafas", email = "sp.balafas@gmail.com", role = c("aut", "cre")),person("Wim", "Krijnen", role = "aut"),person("Wendy", "Post", role = "ctb"),person("Ernst", "Wit", role = "aut"))
Packaged: 2022-11-23 22:34:56 UTC; SpyrosBalafas

Title: Relative Risk Based on the Ratio of Median Unbiased Estimates
Authors@R: person("Rickey", "Carter", email = "carter.rickey@mayo.edu", role = c("aut", "cre"))
Description: Implements an estimator for relative risk based on the median unbiased estimator. The relative risk estimator is well defined and performs satisfactorily for a wide range of data configurations. The details of the method are available in Carter et al (2010) <doi:10.1111/j.1467-9876.2010.00711.x>.

Title: Mixture of Gaussian Bayesian Network Model
Description: A package that models continuous multivariate data via
directional acyclic graphs and provides inference based on the
Collate: mugnet.class.R mugnet.def.R mugnet.learn.R mugnet.predict.R

Description: A package that models continuous multivariate data via directional acyclic graphs and provides inference based on the frequentist approach

Description: A package for producing a smooth estimate of the hazard function for censored data.
Author: S original by Kenneth Hess, <khess@odin.mdacc.tmc.edu>
Title: Hazard Function Estimation in Survival Analysis

Packaged: Tue May 25 14:48:13 2004; rgentlem

Packaged: Sat Oct 16 15:55:54 2004; rgentlem

Packaged: Sat Apr  8 16:43:27 2006; rgentlem

Description: A package for producing a smooth estimate of the hazard
Author: S original by Kenneth Hess, <khess@odin.mdacc.tmc.edu> R port
Packaged: Sat Mar 21 10:48:42 2009; rgentlem

Description: Produces a smooth estimate of the hazard

Packaged: 2014-08-09 15:45:08 UTC; davidwinsemius

Title: Exploring Data with Tree Data Structures
Authors@R: person("Justin", "Alford", , "justin.alford@gmail.com", role = c("aut", "cre"))
Description: A simple tool allowing users to easily and dynamically explore or document a data set using a tree structure.
Imports: DiagrammeR (>= 0.6), dplyr (>= 0.4.1), stringr (>= 0.6.2)