Description: Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems.
Suggests: hdi, pROC, R.rsp, knitr, gdata

Description: Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems. See Wang (2011) <doi:10.2202/1557-4679.1304>, Wang (2012) <doi:10.3414/ME11-02-0020>, Wang (2018) <doi:10.1080/10618600.2018.1424635>, Wang (2018) <doi:10.1214/18-EJS1404>.

Imports: rpart, methods, foreach, doParallel, gbm

classification, with unequal misclassification costs for binary
case. Functional gradient descent algorithm to optimize the
hinge loss. The algorithm can fit linear and nonlinear

Description: The package contains HingeBoost for binary and multi-class classification, with unequal misclassification costs for binary case. Functional gradient descent algorithm to optimize the hinge loss. The algorithm can fit linear and nonlinear classifiers.

Title: Bayesian Streaming Record Linkage
Description: Perform record linkage on streaming files using recursive Bayesian updating.
Imports: BRL, doParallel, extraDistr, foreach, parallel

Description: Time series regression using dynamic linear models fit using MCMC.
Depends: BoomSpikeSlab, zoo, xts, Boom, R(>= 3.0.2)
Packaged: 2014-06-26 22:02:33 UTC; stevescott

Depends: BoomSpikeSlab (>= 0.5.1), zoo, xts, Boom (>= 0.2), R(>= 3.1.0)
Packaged: 2014-12-03 15:08:04 UTC; stevescott

Packaged: 2014-12-04 17:36:40 UTC; stevescott

Packaged: 2015-07-20 08:00:58 UTC; stevescott

Depends: BoomSpikeSlab (>= 0.5.3), zoo, xts, Boom (>= 0.3), R(>= 3.1.0)
Packaged: 2016-03-11 16:00:47 UTC; stevescott

Packaged: 2016-08-02 16:47:46 UTC; stevescott

Packaged: 2016-08-14 01:48:52 UTC; stevescott

Description: Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.
Depends: BoomSpikeSlab (>= 0.8.0), zoo, xts, Boom (>= 0.6), R(>= 3.3.1)
Packaged: 2017-04-11 00:18:16 UTC; stevescott