Description: A method for the Bayesian functional linear regression model (scalar-on-function),
A representation of the posterior distribution is also available. Grollemund P-M., Abraham C.,

Title: Data Exploration with Multiple Machine Learning Algorithms
Description: Allows data to be processed by multiple machine learning algorithms
at the same time, enables feature selection of data by single a algorithm or
combinations of multiple. Easy to use tool for k-fold cross validation and
Imports: dplyr, plyr, tidyr, magrittr, caret, ggplot2, glmnet,
bartMachine, reshape2, randomForest, kknn, pamr, nnet, party,
rJava, e1071, pROC, stringr, xgboost, parallel, knitr,
rmarkdown, shiny, shinyjs, reshape, gtools, tibble

Title: Fitting block ERGM given the block structure on social networks
Author: Xiaolin Yang,Stephen Fienberg, Alessandro Rinaldo, Han Liu,Michael Rosenblum
Description: This package is an extension to the "ergm" package which implements the block ergms.
Packaged: 2013-10-19 06:14:23 UTC; xiaolinyang

Depends: network (>= 1.7-1), ergm (>= 3.1-0), statnet.common (>= 3.1-0)

Title: Binomial linear and linear-expit regression
Depends: R (>= 2.10.1), stats, methods, BB, MASS, numDeriv, alabama (>=
Description: General additive regression models for binary cohort data
which use constrained maximum likelihood for estimation.

Description: General additive regression models for binary cohort data which use constrained maximum likelihood for estimation.

Depends: R (>= 2.10.1), stats, methods, MASS
Description: Implements regression models for binary data on the
absolute risk scale. These models are applicable to cohort and
Packaged: 2012-05-19 04:34:15 UTC; kovalchiksa

Packaged: 2012-10-06 18:25:57 UTC; kovalchiksa

Packaged: 2012-11-19 03:32:40 UTC; kovalchiksa

Packaged: 2012-12-11 15:39:16 UTC; kovalchiksa

Packaged: 2013-02-11 04:43:07 UTC; kovalchiksa

Packaged: 2013-04-17 20:05:04 UTC; kovalchiksa

Packaged: 2013-05-10 13:35:30 UTC; kovalchiksa

Description: Implements regression models for binary data on the absolute risk scale. These models are applicable to cohort and population-based case-control data.
Packaged: 2013-08-16 16:33:13 UTC; kovalchiksa