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midas2

1.1.0Package record

Bayesian Platform Design with Subgroup Efficacy Exploration(MIDAS-2)

0packages depend
2.8Kdownloads / year
–test coverage
11/13flavors OK

Overview

About
Maintained by Su LiwenCRAN page ↗

The rapid screening of effective and optimal therapies from large numbers of candidate combinations, as well as exploring subgroup efficacy, remains challenging, which necessitates innovative, integrated, and efficient trial designs(Yuan, Y., et al. (2016) doi:10.1002/sim.6971). MIDAS-2 package enables quick and continuous screening of promising combination strategies and exploration of their subgroup effects within a unified platform design framework. We used a regression model to characterize the efficacy pattern in subgroups. Information borrowing was applied through Bayesian hierarchical model to improve trial efficiency considering the limited sample size in subgroups(Cunanan, K. M., et al. (2019) doi:10.1177/1740774518812779). MIDAS-2 provides an adaptive drug screening and subgroup exploring framework to accelerate immunotherapy development in an efficient, accurate, and integrated fashion(Wathen, J. K., & Thall, P. F. (2017) <doi: 10.1177/1740774517692302>).

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Su Liwen <cpusullivan@163.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Su",
                    family = "Liwen",
                    role = c("aut", "cre"),
                    email = "cpusullivan@163.com")
as necessary.

CRAN check page ↗

Slowest check: 58 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.8K
CRAN downloads in the past year
Rank #19,674 · ~8/day · ~235/mo
Daily download trend is not available in this view yet.
22130 days
67890 days
2.8K1 year
Compare downloads with other packages →
Also on59 r2u2 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing midas2 adds 18 packages (11 with compiled code, 19 MB of source tarballs). Heaviest: stringi 11 MB, mcmc 1.5 MB, R2WinBUGS 1.2 MB.

Depends (0)
none
Imports (4)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (1)

Maintainer since 0.1.0 (2021)

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0Latest
    record
    2023-07-14 · current release · diff ↗ ·
    removed 2 exports
    pattern:^[[:alpha:]]+, hc_platform
    added 2 exports
    platform_midas2, platform_midas2s
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    record
    2021-12-16
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-12-16
Total releases
2 / 5 yrs
License
GPL-3 OSI
Download size
7.5 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("midas2")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for midas2 version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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