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YPBP  

Yang and Prentice Model with Baseline Distribution Modeled by Bernstein Polynomials
View on CRAN: Click here


Download and install YPBP package within the R console
Install from CRAN:
install.packages("YPBP")

Install from Github:
library("remotes")
install_github("cran/YPBP")

Install by package version:
library("remotes")
install_version("YPBP", "0.0.1")



Attach the package and use:
library("YPBP")
Maintained by
Fabio Demarqui
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-29
Latest Update: 2020-06-29
Description:
Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with baseline hazard/odds modeled with Bernstein polynomials. Details about the model can be found in Demarqui et al. (2019) <doi:10.48550/arXiv.1910.04475>. Model fitting can be carried out via both maximum likelihood and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.
How to cite:
Fabio Demarqui (2020). YPBP: Yang and Prentice Model with Baseline Distribution Modeled by Bernstein Polynomials. R package version 0.0.1, https://cran.r-project.org/web/packages/YPBP. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other packages that cited YPBP R package
View YPBP citation profile
Other R packages that YPBP depends, imports, suggests or enhances
Complete documentation for YPBP
Functions, R codes and Examples using the YPBP R package
Some associated functions: YPBP-package . coef.ypbp . confint . confint.ypbp . crossTime-methods . crossTime . gastric . ipass . model.matrix.ypbp . print.summary.ypbp . summary.ypbp . survfit.ypbp . vcov.ypbp . ypbp . 
Some associated R codes: YPBP-package.R . data_doc.R . stanmodels.R . summary_ypbp.R . survival_ypbp.R . utils.R . ypbp.R .  Full YPBP package functions and examples
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