Package: icensmis 1.5.0

icensmis: Study Design and Data Analysis in the Presence of Error-Prone Diagnostic Tests and Self-Reported Outcomes

We consider studies in which information from error-prone diagnostic tests or self-reports are gathered sequentially to determine the occurrence of a silent event. Using a likelihood-based approach incorporating the proportional hazards assumption, we provide functions to estimate the survival distribution and covariate effects. We also provide functions for power and sample size calculations for this setting. Please refer to Xiangdong Gu, Yunsheng Ma, and Raji Balasubramanian (2015) <doi:10.1214/15-AOAS810>, Xiangdong Gu and Raji Balasubramanian (2016) <doi:10.1002/sim.6962>, Xiangdong Gu, Mahlet G Tadesse, Andrea S Foulkes, Yunsheng Ma, and Raji Balasubramanian (2020) <doi:10.1186/s12911-020-01223-w>.

Authors:Xiangdong Gu and Raji Balasubramanian

icensmis_1.5.0.tar.gz
icensmis_1.5.0.zip(r-4.7-x86_64)icensmis_1.5.0.zip(r-4.7-arm64)icensmis_1.5.0.zip(r-4.6-x86_64)icensmis_1.5.0.zip(r-4.6-arm64)icensmis_1.5.0.zip(r-4.5-x86_64)
icensmis_1.5.0.tgz(r-4.6-x86_64)icensmis_1.5.0.tgz(r-4.6-arm64)icensmis_1.5.0.tgz(r-4.5-x86_64)icensmis_1.5.0.tgz(r-4.5-arm64)
icensmis_1.5.0.tar.gz(r-4.7-arm64)icensmis_1.5.0.tar.gz(r-4.7-x86_64)icensmis_1.5.0.tar.gz(r-4.6-arm64)icensmis_1.5.0.tar.gz(r-4.6-x86_64)
icensmis_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
icensmis/json (API)

# Install 'icensmis' in R:
install.packages('icensmis', repos = c('https://xiangdonggu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xiangdonggu/icensmis/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

2.70 score 1 stars 7 scripts 327 downloads 9 exports 1 dependencies

Last updated from:74c077e81c. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK135
linux-devel-x86_64OK106
source / vignettesOK214
linux-release-arm64OK138
linux-release-x86_64OK124
macos-release-arm64OK155
macos-release-x86_64OK290
macos-oldrel-arm64OK223
macos-oldrel-x86_64OK457
windows-devel-arm64OK359
windows-devel-x86_64OK151
windows-release-arm64OK368
windows-release-x86_64OK91
windows-oldrel-x86_64OK109
wasm-releaseOK85

Exports:bayesmcdatasimfitsurvicmisicpowericpower_weibullicpower.valicpowerpfplot_surv

Dependencies:Rcpp