NEWS

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pboost 0.4.11

• add plagsarlm() and flagsarlm().

pboost 0.4.10

• update dependencies based on roxygen2 (v8.0.0).

pboost 0.4.9

• reorder the augments pboost(xmat, yvec), frs(xmat, yvec).

• add prq.fit(), frq.fit()

• update excluding set in provide_args for *.fit.

• polish doc.

pboost 0.4.8 (2026-05-13)

• unexport penalization methods.

pboost 0.4.7

• add check examples in penalization.R

• combine examples in wrapped frs-models into pbooost-models

pboost 0.4.6

• polish the wrapped models, including formula parse and arguments parse.

pboost 0.4.5

• add fcoxph()

pboost 0.4.4

• add penalty-glm, penalty-ncvreg, penalty-rq, penalty-sar.

• add pcoxph()

pboost 0.4.3

• remove lasso-glm, lasso-rq, lasso-sar.

pboost 0.4.2

• fix the bug of the new design version of pboost() (fortunately, it has not been officially released yet).

• polish frs()

pboost 0.4.1

• update lasso_rq().

pboost 0.4.0

• add lasso_sar(), lasso_rq(), lasso_glm().

pboost 0.3.8

• add coef.sarpboost(), set_rook_matrix()

pboost 0.3.7

• polish

pboost 0.3.6

• simplify unnecessary provided_args

pboost 0.3.5

• add frq()

pboost 0.3.4

• add fbetareg()
• fix bug infrs()

pboost 0.3.3

Reformulate according the new interface pboost():

• pbetareg()
• pglm()
• plm()
• prq()

Newly add:

• psar(), fsar()

pboost 0.3.2

• reformulate pboost().

pboost 0.3.1

• add flm(), fglm().

pboost 0.3.0

• add forward regression selection framework (frs.R).

pboost 0.2.2

• update documentation.

pboost 0.2.1 (2026-01-08)

• polish the documentation.

pboost 0.2.0

• remove commented codes in examples.

• wrap the lengthy examples in \donttest{}.

• eval argument data at first in wrapped models.

pboost 0.1.1

• polish the help documentation.

• Refine the DESCRIPTION file to ensure it conforms to the required specifications

pboost 0.1.0

• Initial CRAN submission.