Package: EBASS 0.1.2

EBASS: Expected Value of Information Based Sample Size Calculation

Computes sample sizes for trial-based cost-effectiveness analyses using the expected value of information. The implementation follows the method described by Bader et al. (2018) <doi:10.1186/s12874-018-0571-1>.

Authors:Audrey Cordon [aut, cre], Clement Bader [ctb], Morgane Donadel [ctb], Aline Maillard [ctb], Sebastien Cossin [ctb], Mohamedou Sow [ctb], Antoine Benard [ctb]

EBASS_0.1.2.tar.gz
EBASS_0.1.2.zip(r-4.7-any)EBASS_0.1.2.zip(r-4.6-any)EBASS_0.1.2.zip(r-4.5-any)
EBASS_0.1.2.tgz(r-4.6-any)EBASS_0.1.2.tgz(r-4.5-any)
EBASS_0.1.2.tar.gz(r-4.7-any)EBASS_0.1.2.tar.gz(r-4.6-any)
EBASS_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
EBASS/json (API)

# Install 'EBASS' in R:

install.packages('EBASS', repos = c('https://biostatusmr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/biostatusmr/ebass/issues

On CRAN:

5.48 score 4 stars 15 scripts 278 downloads 11 exports 0 dependencies

Last updated from:ab76c77fe6. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	110
source / vignettes	OK	135
linux-release	NOTE	93
macos-release	NOTE	94
macos-oldrel	NOTE	78
windows-devel	NOTE	74
windows-release	NOTE	55
windows-oldrel	NOTE	58
wasm-release	OK	73

Exports:create_object_evpi_decrease create_object_inmb create_object_inmb_direct create_object_lambda create_object_pop create_object_var_inmb create_object_var_inmb_diff create_object_var_inmb_direct gamma_risk graph_gain_n sample_size

Dependencies:

Introduction to EBASS

Rendered frommy-vignette.Rmdusingknitr::rmarkdown

Last update: 2026-06-02
Started: 2016-10-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create an object evpi_decrease	create_object_evpi_decrease
Create an object INMB	create_object_inmb
Create an object INMB_DIRECT	create_object_inmb_direct
Create an object lambda	create_object_lambda
Create an object POP	create_object_pop
Create an object var_inmb	create_object_var_inmb
Create an object var_inmb_diff	create_object_var_inmb_diff
Create an object var_inmb_direct	create_object_var_inmb_direct
A Reference Class to represent the EVPI	EVPI_DECREASE
Function to estimate the gamma risk	gamma_risk
Plot to explain the estimated sample size calculation	graph_gain_n
A Reference Class to represent the INMB (Incremental Net Monetary Benefit)	INMB
A Reference Class to represent the INMB (Incremental Net Monetary Benefit)	INMB_DIRECT
A Reference Class to represent the lambda value	Lambda
A Reference Class to represent the target population	POP
Function to calculate the estimated sample size based on the Expected Value of Perfect Information (EVPI)	sample_size
A Reference Class to represent the Hypothetical variance of the Incremental Net Monetary Benefit	VAR_INMB
A Reference Class to represent the variance of the Incremental Net Monetary Benefit (INMB) when the standard deviation of costs and effectiveness in each group differ.	VAR_INMB_DIFF
A Reference Class to represent the theoretical standard deviation of the expected INB	VAR_INMB_DIRECT