NEWS

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bst 0.3-23 (2020-11-09)

• editorial changes to Rd files

bst 0.3-22 (2020-10-19)

• change parallel computing codes in cross-validation

bst 0.3-19

• add detailed description on s value in man/bst_control.Rd

bst 0.3-18

• stop bst running if any fk=NULL and family="tgaussianDC", "thingeDC", "tbinomDC", "binomdDC", "texpoDC", "tpoissonDC", "thuberDC", "clossRMM", "clossMM", "glossMM", "qlossMM"))

bst 0.3-15 (2018-07-23)

• stop bst running if any fk=NULL and family="tgaussianDC", "thingeDC", "tbinomDC", "binomdDC", "texpoDC", "tpoissonDC", "thuberDC", "clossR", "clossRMM", "clossMM", "glossMM", "qlossMM"))
• importFrom("doParallel", "stopImplicitCluster")
• add stopImplicitCluster() after registerDoParallel
• change the offset value for family="huber", "thuber" or "lar". This is the initial value of boosting in bst function
• add a new parameter 'start' in bst_control, a logical value. If start=TRUE and fk in bst_control is a vector of values, then bst iterations begin with fk. Otherwise, bst iterations begin with the default values. This can be useful, for instance, in rbst for the MM boosting algorithm.
• drop bst-package.Rd in man directory

bst 0.3-14 (2016-09-21)

• add family="closs", "clossMM", "clossR", "clossRMM", "gloss", "glossMM", "qloss", "qlossMM" in bst function
• add rfamily="closs", "gloss", "qloss" in rbst function
• add family="closs", "clossMM" in mbst function
• add rfamily="closs" in rmbst function
• add vignette files for breast cancer data analysis

bst 0.3-13 (2016-02-28)

• recall terminating boosting if loss value inreases in bst function, but still terminating for rbst if loss value increases
• check if response is 1/-1 in bst and rbst for (margin based) binary classification problem
• modify cv.bst to be computationally efficient using predict function more properly
• add cv.rbst and cv.rmbst
• change type=c("risk", "misc") to type=c("loss", "error") in cross validation related functions, to be consistent with predict functions
• add cv.rbst
• add index.html to inst/doc

bst 0.3-12 (2016-01-04)

• add a data analysis example to khan.Rnw
• add a new vignette mcl.Rnw
• modify ex1data function
• fix a bug in predict.mbst when newdata=NULL and newy=NULL

bst 0.3-11 (2015-12-19)

• add parallel computing for cross-validation in cv.bst function
• add twintype argument for learner="ls" and twinboost=TRUE. If twintype=2, it does the same before and excluding version 0.3-10. If twintype=1, it does the same as version 0.3-10
• change argument "type" in bst and related functions to "threshold"
• add vignette file
• in function bst, boosting was terminated early if the fitted loss function value increased. This was changed and boosting only terminates for those loss functions related to truncated loss functions
• add inst/extdata and two vignettes

bst 0.3-10

• change the algorithm with respect to base class in mbst.R
• change bst function with twinboost=TRUE for learner="ls". In the previous versions, bst implemented the General Twin L2Boosting with general weak learner (Alg 1), rathter than Twin L2Boosting with componentwise linear least squares (Alg 2), cf: Buhlmann and Hothorn (2010). However, as Proposition 2 demonstrates, Alg 1 is not equal to Alg2 unless underlying regression model is orthonormal. The change is to match Alg 1.

bst 0.3-9

• add robust multi-class boosting rmbst.R

bst 0.3-8

• add family="expo" in bst function and rfamily="texpo" in rbst function for exponential loss and truncated exponential loss, respectively
• terminate boosting and robust boosting if loss value inreases

bst 0.3-7

• add intercept estimate for family=gaussian and center=FALSE

bst 0.3-6

• intercept estimated
• hingeloss and hingengra were modified, they are for family="hinge" since version 0.3-11. Before version 0.3-6, they are for family="hinge2".
• function rbst added: boosting plus difference of convex algorithm with truncated loss functions

bst 0.3-5

• for non-numeric responses in mada, they are now forced to be numeric
• fixed bugs in mada when xte and yte are missing
• in DESCRIPTION, change Imports: gbm to Depends: gbm, the results can be different for mada

bst 0.3-4 (2014-06-24)

• change output name fraction to mstop in cv.bst

bst 0.3-3 (2013-09-12)

• function name mhinge was changed to mhingeova (multi-class hinge one-vs-all)
• function name msvm was changed to mhingebst (multi-class hinge boosting)

bst 0.3-2 (2012-01-17)

• added trees size selection in multi-class HingeBoost msvm

bst 0.3-1 (2011-06-24)

• multi-class HingeBoost msvm
• add misclassification error as a criteria in cv.msvm for multiclass problem

bst 0.2 (2011-03-31)

• multi-class HingeBoost via one-vs-all method