Package: dani 1.0-0

dani: Design and Analysis of Non-Inferiority Trials

Provides tools to help with the design and analysis of non-inferiority trials. These include functions for doing sample size calculations and for analysing non-inferiority trials, using a variety of outcome types and population-level sumamry measures. It also features functions to make trials more resilient by using the concept of non-inferiority frontiers, as described in Quartagno et al. (2019) <arxiv:1905.00241>. Finally it includes function to design and analyse MAMS-ROCI (aka DURATIONS) trials.

Authors:Matteo Quartagno

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dani/json (API)

# Install 'dani' in R:

install.packages('dani', repos = c('https://matteo21q.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/matteo21q/dani/issues

On CRAN:

4.94 score 2 stars 29 scripts 382 downloads 25 exports 123 dependencies

Last updated from:fa4f12a833. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	ERROR	215
source / vignettes	OK	266
linux-release	ERROR	214
macos-release	ERROR	194
macos-oldrel	ERROR	232
windows-devel	ERROR	159
windows-release	ERROR	153
windows-oldrel	ERROR	148
wasm-release	OK	146

Exports:compare.NIfrontier.binary compare.NIfrontier.continuous compare.NIfrontier.survival convertmargin.binary convertmargin.continuous convertmargin.survival plot.ROCI power.NI.binary power.NI.continuous power.NIfrontier.binary power.ROCI.binary samplesize.NI.binary samplesize.NI.continuous samplesize.NI.survival samplesize.NIfrontier.binary samplesize.ROCI.binary samplesize.ROCI.survival summary.ROCI test.NI.binary test.NI.continuous test.NI.survival test.NIfrontier.binary test.ROCI.binary test.ROCI.survival type1error.NIfrontier.binary

Dependencies:askpass assertthat backports bbmle bdsmatrix bit bit64 boot brio BSDA callr cellranger checkmate class cli clipr codetools contingencytables coxphw cpp11 crayon curl data.table desc DescTools deSolve diffobj dplyr e1071 evaluate Exact exact2x2 exactci expm farver fastGHQuad flexsurv forcats Formula fs generics ggplot2 gld glue gtable haven hms httr insight isoband jsonlite labeling lattice lifecycle lmom lsoda magrittr marginaleffects MASS Matrix mfp mgcv mime mratios mstate muhaz multcomp mvtnorm nlme numDeriv openssl otel pillar pkgbuild pkgconfig pkgload pracma praise prettyunits processx progress PropCIs proxy ps purrr quadprog R6 ratesci RColorBrewer Rcpp RcppArmadillo readr readxl rematch rlang rootSolve rprojroot rstpm2 rstudioapi S7 sandwich scales ssanv statmod stringi stringr survival survPresmooth survRM2 sys testthat TH.data tibble tidyr tidyselect tzdb utf8 vctrs viridisLite vroom waldo withr zoo

Introduction

Package structure | Non-inferiority margin conversion | Non-inferiority frontiers comparison | Sample size calculations | Analysis / testing for non-inferiority | References | Quartagno, M., Walker, A.S., Babiker, A.G. et al.Handling an uncertain control group event risk in non-inferiority trials: non-inferiority frontiers and the power-stabilising transformation. Trials 21, 145 (2020). https://doi.org/10.1186/s13063-020-4070-4

Rendered fromIntroduction.Rmdusingknitr::rmarkdown

Last update: 2026-08-07
Started: 2023-12-13

Help page	Topics
Comparing Non-Inferiority Frontiers for trials with binary outcomes	compare.NIfrontier.binary
Comparing Non-Inferiority Frontiers for trials with continuous outcomes	compare.NIfrontier.continuous
Comparing Non-Inferiority Frontiers for trials with survival outcomes	compare.NIfrontier.survival
Function to convert non-inferiority margin for binary outcome between summary measures.	convertmargin.binary
Function to convert non-inferiority margin for continuous outcome between summary measures.	convertmargin.continuous
Function to convert non-inferiority margin for survival outcome between summary measures.	convertmargin.survival
Plot treatment-response curve estimated with a ROCI trial	plot.ROCI
Function to compute the power for a given sample size for a standard 2-arm non-inferiority trial.	power.NI.binary
Power calculation tool for Non-Inferiority trials with a continuous outcome.	power.NI.continuous
Function to compute the power for a given sample size for a 2-arm non-inferiority trial designed using non-inferiority frontiers.	power.NIfrontier.binary
Function to compute the power for a given sample size for a MAMS-ROCI (aka DURATIONS) randomised trial.	power.ROCI.binary
Sample size calculation tool for Non-Inferiority trials with a binary outcome.	samplesize.NI.binary
Sample size calculation tool for Non-Inferiority trials with a continuous outcome.	samplesize.NI.continuous
Sample size calculation tool for Non-Inferiority trials with a survival outcome.	samplesize.NI.survival
Sample size calculator for trials with binary outcomes designed with Non-Inferiority Frontiers	samplesize.NIfrontier.binary
Function to compute the necessary sample size for a MAMS-ROCI (aka DURATIONS) randomised trial.	samplesize.ROCI.binary
Summarise the results of the analysis of a MAMS-ROCI trial	summary.ROCI
Non-inferiority testing with binary outcome.	test.NI.binary
Non-inferiority testing with continuous outcome.	test.NI.continuous
Non-inferiority testing with survival outcome.	test.NI.survival
Non-inferiority testing with binary outcome using a non-inferiority frontier.	test.NIfrontier.binary
Function to analyse a MAMS-ROCI (aka DURATIONS) randomised trial.	test.ROCI.binary
Function to compute type 1 error rate for a 2-arm non-inferiority trial designed using non-inferiority frontiers.	type1error.NIfrontier.binary

Package: dani 1.0-0

dani: Design and Analysis of Non-Inferiority Trials

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