PBRF-package {PBRF}R Documentation

The Probability of Being in Response Function and Its Variance Estimates

Description

Provides three ways to estimate the probability of being in response function (PBRF) The estimates are presented in Tsai, Luo and Crowley (2017) <doi: 10.1007/978-981-10-0126-0_10>.

Details

The DESCRIPTION file:

Package: PBRF
Type: Package
Title: The Probability of Being in Response Function and Its Variance Estimates
Version: 1.0.0
Date: 2018-09-22
Maintainer: Xiaodong Luo <xiaodong.luo@sanofi.com>
Description: Provides three ways to estimate the probability of being in response function (PBRF) The estimates are presented in Tsai, Luo and Crowley (2017) <doi: 10.1007/978-981-10-0126-0_10>.
Authors@R: c( person(given="Xiaodong", family="Luo", email = "xiaodong.luo@sanofi.com", role =c("aut", "cre")), person("Sanofi", role = "cph"))
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 5.0.1
LazyData: true
Author: Xiaodong Luo [aut, cre], Sanofi [cph]

Index of help topics:

PBRF-package            The Probability of Being in Response Function
                        and Its Variance Estimates
pbf2                    prob being in response function

Author(s)

NA

Maintainer: Xiaodong Luo <xiaodong.luo@sanofi.com>

References

Tsai W.Y., Luo X., Crowley J. (2017) The Probability of Being in Response Function and Its Applications. In: Matsui S., Crowley J. (eds) Frontiers of Biostatistical Methods and Applications in Clinical Oncology. Springer, Singapore. <doi: https://doi.org/10.1007/978-981-10-0126-0_10>.


[Package PBRF version 1.0.0 Index]