Other packages > Find by keyword >

optconerrf  

Optimal Monotone Conditional Error Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("optconerrf", "1.0.3")



Attach the package and use:
library("optconerrf")
Maintained by
Morten Dreher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-09
Latest Update: 2025-09-09
Description:
Design and analysis of confirmatory adaptive clinical trials using the optimal conditional error framework according to Brannath and Bauer (2004) <doi:10.1111/j.0006-341X.2004.00221.x>. An extension to the optimal conditional error function using interim estimates as described in Brannath and Dreher (2024) <doi:10.48550/arXiv.2402.00814> and functions to ensure that the resulting conditional error function is non-increasing are also available.
How to cite:
Morten Dreher (2025). optconerrf: Optimal Monotone Conditional Error Functions. R package version 1.0.3, https://cran.r-project.org/web/packages/optconerrf. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-09-03 22:10), 1.0.0 (2025-09-09 15:40), 1.0.1 (2025-09-29 20:00), 1.0.2 (2026-04-15 22:10)
Other packages that cited optconerrf R package
View optconerrf citation profile
Other R packages that optconerrf depends, imports, suggests or enhances
Complete documentation for optconerrf
Functions, R codes and Examples using the optconerrf R package
Full optconerrf package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA