Description: Improved predictive models by indirect classification and
bagging for classification, regression and survival problems
as well as resampling based estimators of prediction error.
Depends: rpart (>= 3.1-8), MASS, mlbench, survival, nnet, class

Packaged: Tue Dec 16 18:46:48 2003; hothorn

Packaged: Fri Dec 19 19:56:10 2003; peters

Packaged: Fri Jan 16 11:54:13 2004; peters

Packaged: Wed Feb 11 10:52:48 2004; peters

Packaged: Thu May 13 09:46:44 2004; peters

Packaged: Mon Aug  2 11:53:23 2004; hothorn

Packaged: Thu Nov 25 14:22:41 2004; peters

Author: Andrea Peters and Torsten Hothorn
bagging for classification, regression and survival problems as
well as resampling based estimators of prediction error.

Depends: R (>= 2.10), rpart (>= 3.1-8), MASS, mlbench, survival, nnet,

Packaged: Thu Dec  9 14:21:56 2004; peters

Packaged: Wed Jun 29 10:45:55 2005; hothorn

Packaged: Tue Oct  9 15:39:40 2007; hothorn

Packaged: Wed Oct 10 11:44:18 2007; hothorn

Packaged: Thu Aug  7 12:51:39 2008; hothorn

Packaged: Fri Mar 27 18:12:29 2009; hothorn

Depends: R (>= 2.10), rpart (>= 3.1-8), MASS, survival, nnet, class,

Authors@R: c(person("Andrea", "Peters", role = "aut"),
person("Brian D.", "Ripley", role = "ctb"),
person("Terry", "Therneau", role = "ctb"),
person("Beth", "Atkinson", role = "ctb"))
Imports: rpart (>= 3.1-8), MASS, survival, nnet, class, prodlim
Suggests: mvtnorm, mlbench, TH.data, randomForest

Suggests: mvtnorm, mlbench, TH.data, randomForest, party

Description: In a linear regression setting, priors can be assigned to the regression function using a vector space framework, and the posterior estimate of the regression function obtained. I-priors are a class of such priors based on the principle of maximum entropy. While the main interest of I-prior modelling is prediction, inference is also possible, e.g. via log-likelihood ratio tests. This package supports both formula and non-formula based input. Estimation is mainly done via an EM algorithm, but there is flexibility in using any R optimiser to maximise the log-likelihood computed by the kernel loader function.
Imports: methods, RColorBrewer, Rcpp (>= 0.12.6)
Suggests: knitr, MASS, rmarkdown, testthat
Packaged: 2016-08-19 12:06:26 UTC; haziqjamil