Package: MAMS 3.0.0

Thomas Jaki

MAMS: Designing Multi-Arm Multi-Stage Studies

Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.

Authors:Thomas Jaki [aut, cre], Dominique-Laurent Couturier [aut], Dominic Magirr [aut], Nikita Mozgunov [aut], Philip Pallmann [aut]

# Install 'MAMS' in R:

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

Last updated 5 months agofrom:9032a40d73. Checks:2 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 17 2025
R-4.5-linux-x86_64	OK	Feb 17 2025

Help page	Topics
.onAttach	.onAttach
Function to design multi-arm multi-stage studies with normal endpoints	mams
Simulating multi-arm multi-stage designs	mams.sim
Shows changes and news	MAMSNews
Function to update boundaries based on observed sample sizes	new.bounds
Function to design multi-arm multi-stage studies with ordinal or binary endpoints	ordinal.mams
Plot method for MAMS objects	plot.MAMS
Plot method for MAMS.stepdown objects	plot.MAMS.stepdown
Generic print function for class MAMS.	print.MAMS
Generic print function for class MAMS.stepdown.	print.MAMS.stepdown
Function to find stopping boundaries for a 2- or 3-stage (step-down) multiple-comparisons-with-control test.	stepdown.mams
Update the stopping boundaries of multi-arm multi-stage study at an interim analysis, allowing for unplanned treatment selection and/or sample-size reassessment.	stepdown.update
Generic summary function for class MAMS.	summary.MAMS
Generic summary function for class MAMS.stepdown.	summary.MAMS.stepdown
Function to design multi-arm multi-stage studies with time-to-event endpoints	tite.mams