Changes in version 0.3-23 (2020-11-09)                 

    o   editorial changes to Rd files

                 Changes in version 0.3-22 (2020-10-19)                 

    o   change parallel computing codes in cross-validation

                       Changes in version 0.3-19                        

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

                       Changes in version 0.3-18                        

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

                 Changes in version 0.3-15 (2018-07-23)                 

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

    o   importFrom("doParallel", "stopImplicitCluster")

    o   add stopImplicitCluster() after registerDoParallel

    o   change the offset value for family="huber", "thuber" or "lar". This is the initial value of boosting in bst function

    o   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.

    o   drop bst-package.Rd in man directory

                 Changes in version 0.3-14 (2016-09-21)                 

    o   add family="closs", "clossMM", "clossR", "clossRMM", "gloss", "glossMM", "qloss", "qlossMM" in bst function

    o   add rfamily="closs", "gloss", "qloss" in rbst function

    o   add family="closs", "clossMM" in mbst function

    o   add rfamily="closs" in rmbst function

    o   add vignette files for breast cancer data analysis

                 Changes in version 0.3-13 (2016-02-28)                 

    o   recall terminating boosting if loss value inreases in bst function, but still terminating for rbst if loss value increases

    o   check if response is 1/-1 in bst and rbst for (margin based) binary classification problem

    o   modify cv.bst to be computationally efficient using predict function more properly

    o   add cv.rbst and cv.rmbst

    o   change type=c("risk", "misc") to type=c("loss", "error") in cross validation related functions, to be consistent with predict functions

    o   add cv.rbst

    o   add index.html to inst/doc

                 Changes in version 0.3-12 (2016-01-04)                 

    o   add a data analysis example to khan.Rnw

    o   add a new vignette mcl.Rnw

    o   modify ex1data function

    o   fix a bug in predict.mbst when newdata=NULL and newy=NULL

                 Changes in version 0.3-11 (2015-12-19)                 

    o   add parallel computing for cross-validation in cv.bst function

    o   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 

    o   change argument "type" in bst and related functions to "threshold"

    o   add vignette file

    o   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

    o   add inst/extdata and two vignettes 

                       Changes in version 0.3-10                        

    o   change the algorithm with respect to base class in mbst.R

    o   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. 

                        Changes in version 0.3-9                        

    o   add robust multi-class boosting rmbst.R

                        Changes in version 0.3-8                        

    o   add family="expo" in bst function and rfamily="texpo" in rbst function for exponential loss and truncated exponential loss, respectively

    o   terminate boosting and robust boosting if loss value inreases

                        Changes in version 0.3-7                        

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

                        Changes in version 0.3-6                        

    o   intercept estimated

    o   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".

    o   function rbst added: boosting plus difference of convex algorithm with truncated loss functions

                        Changes in version 0.3-5                        

    o   for non-numeric responses in mada, they are now forced to be numeric

    o   fixed bugs in mada when xte and yte are missing

    o   in DESCRIPTION, change Imports: gbm to Depends: gbm, the results can be different for mada

                 Changes in version 0.3-4 (2014-06-24)                  

    o   change output name fraction to mstop in cv.bst

                 Changes in version 0.3-3 (2013-09-12)                  

    o   function name mhinge was changed to mhingeova (multi-class hinge one-vs-all)

    o   function name msvm was changed to mhingebst (multi-class hinge boosting)

                 Changes in version 0.3-2 (2012-01-17)                  

    o   added trees size selection in multi-class HingeBoost msvm

                 Changes in version 0.3-1 (2011-06-24)                  

    o   multi-class HingeBoost msvm

    o   add misclassification error as a criteria in cv.msvm for multiclass problem

                  Changes in version 0.2 (2011-03-31)                   

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