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NBDesign  

Design and Monitoring of Clinical Trials with Negative Binomial Endpoint
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("NBDesign", "2.0.0")



Attach the package and use:
library("NBDesign")
Maintained by
Xiaodong Luo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-19
Latest Update: 2020-09-10
Description:
Calculate various functions needed for design and monitoring clinical trials with negative binomial endpoint with variable follow-up. This version has a few changes compared to the previous version 1.0.0, including (1) correct a typo in Type 1 censoring, mtbnull=bnull and (2) restructure the code to account for shape parameter equal to zero, i.e. Poisson scenario.
How to cite:
Xiaodong Luo (2018). NBDesign: Design and Monitoring of Clinical Trials with Negative Binomial Endpoint. R package version 2.0.0, https://cran.r-project.org/web/packages/NBDesign
Previous versions and publish date:
1.0.0 (2018-11-19 19:10)
Other packages that cited NBDesign R package
View NBDesign citation profile
Other R packages that NBDesign depends, imports, suggests or enhances
Functions, R codes and Examples using the NBDesign R package
Some associated functions: NBDesign-package . negint2 . ynegbinompower . ynegbinompowersim . ynegbinomsize . 
Some associated R codes: negint2.R . ynegbinompower.R . ynegbinompowersim.R . ynegbinomsize.R .  Full NBDesign package functions and examples
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