Package: bbreg 2.0.2

Vinicius Mayrink

bbreg: Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data

Functions to fit, via Expectation-Maximization (EM) algorithm, the Bessel and Beta regressions to a data set with a bounded continuous response variable. The Bessel regression is a new and robust approach proposed in the literature. The EM version for the well known Beta regression is another major contribution of this package. See details in the references Barreto-Souza, Mayrink and Simas (2022) <doi:10.1111/anzs.12354> and Barreto-Souza, Mayrink and Simas (2020) <arxiv:2003.05157>.

Authors:Vinicius Mayrink [cre, aut], Alexandre B. Simas [aut], Wagner Barreto-Souza [aut]

bbreg_2.0.2.tar.gz
bbreg_2.0.2.tar.gz(r-4.5-noble)bbreg_2.0.2.tar.gz(r-4.4-noble)
bbreg_2.0.2.tgz(r-4.4-emscripten)bbreg_2.0.2.tgz(r-4.3-emscripten)
bbreg.pdf |bbreg.html
bbreg/json (API)

# Install 'bbreg' in R:
install.packages('bbreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • BF - Body Fat data set
  • SA - Stress/Axiety data set
  • WT - Weather Task data set

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 4 scripts 475 downloads 5 exports 4 dependencies

Last updated 3 years agofrom:cb22d2d4a7. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 26 2024
R-4.5-linuxNOTENov 26 2024

Exports:bbregdbbtestdbesselsimdata_bessimdata_bet

Dependencies:expintFormulapbapplystatmod

Introduction to bbreg

Rendered fromintro-bbreg.Rmdusingknitr::rmarkdownon Nov 26 2024.

Last update: 2022-02-14
Started: 2020-11-30

Readme and manuals

Help Manual

Help pageTopics
bbregbbreg
Body Fat data setBF
coef.bbregcoef.bbreg
d2mudeta2d2mudeta2
d2phideta2d2phideta2
D2Q_Obs_Fisher_besD2Q_Obs_Fisher_bes
D2Q_Obs_Fisher_betD2Q_Obs_Fisher_bet
dbbtestdbbtest
dbesseldbessel
DQ2_Obs_Fisher_besDQ2_Obs_Fisher_bes
DQ2_Obs_Fisher_betDQ2_Obs_Fisher_bet
EMrun_besEMrun_bes
EMrun_bes_dbbEMrun_bes_dbb
EMrun_betEMrun_bet
EMrun_bet_dbbEMrun_bet_dbb
envelope_besenvelope_bes
envelope_betenvelope_bet
Ew1zEw1z
Ew2zEw2z
fitted.bbregfitted.bbreg
gradlam_bes_dbbgradlam_bes_dbb
gradlam_betgradlam_bet_dbb
gradtheta_besgradtheta_bes
gradtheta_betgradtheta_bet
infmat_besinfmat_bes
infmat_betinfmat_bet
plot.bbregplot.bbreg
pred_accuracy_bespred_accuracy_bes
pred_accuracy_betpred_accuracy_bet
predict.bbregpredict.bbreg
print.bbregprint.bbreg
Qf_besQf_bes
Qf_bes_dbbQf_bes_dbb
Qf_betQf_bet
Qf_bet_dbbQf_bet_dbb
quantile_residual_besquantile_residual_bes
quantile_residual_betquantile_residual_bet
Stress/Axiety data setSA
score_residual_besscore_residual_bes
score_residual_betscore_residual_bet
simdata_bessimdata_bes
simdata_betsimdata_bet
startvaluesstartvalues
summary.bbregsummary.bbreg
vcov.bbregvcov.bbreg
Weather Task data setWT