Package: shinyCox 1.1.0

Harrison Clement

shinyCox: Create 'shiny' Applications for Cox Proportional Hazards Models

Takes one or more fitted Cox proportional hazards models and writes a 'shiny' application to a directory specified by the user. The 'shiny' application displays predicted survival curves based on user input, and contains none of the original data used to create the Cox model or models. The goal is towards visualization and presentation of predicted survival curves.

Authors:Harrison Clement [aut, cre], Subodh Selukar [aut], Stanley Pounds [aut], St Jude Children's Research Hospital [fnd]

shinyCox_1.1.0.tar.gz
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shinyCox_1.1.0.tgz(r-4.4-any)shinyCox_1.1.0.tgz(r-4.3-any)
shinyCox_1.1.0.tar.gz(r-4.5-noble)shinyCox_1.1.0.tar.gz(r-4.4-noble)
shinyCox_1.1.0.tgz(r-4.4-emscripten)shinyCox_1.1.0.tgz(r-4.3-emscripten)
shinyCox.pdf |shinyCox.html✨
shinyCox/json (API)
NEWS

# Install 'shinyCox' in R:

install.packages('shinyCox', repos = c('https://harryc598.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/harryc598/shinycox/issues

On CRAN:

3.40 score 1 stars 9 scripts 410 downloads 9 exports 33 dependencies

Last updated 6 months agofrom:348d6a9600. Checks:OK: 5 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-win	NOTE	Oct 27 2024
R-4.5-linux	NOTE	Oct 27 2024
R-4.4-win	OK	Oct 27 2024
R-4.4-mac	OK	Oct 27 2024
R-4.3-win	OK	Oct 27 2024
R-4.3-mac	OK	Oct 27 2024

Exports:cox_KM_plots cox_times_table get_confint make_coxph predict_one_coxfit predict_se prep_coxfit shine_coxph surv_pred_info

Dependencies:base64enc bslib cachem cli commonmark crayon digest fastmap fontawesome fs glue htmltools httpuv jquerylib jsonlite later lattice lifecycle magrittr Matrix memoise mime promises R6 rappdirs Rcpp rlang sass shiny sourcetools survival withr xtable

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Generate Cox-model predicted Kaplan-Meier plots	cox_KM_plots
Create table of Cox-model predicted probabilities	cox_times_table
Get confidence intervals for predicted survival curves	get_confint
Wrapper to create 'survival::coxph()' object suitable for 'shine_coxph()'	make_coxph
Compute Cox-model predicted survival function	predict_one_coxfit
Creates predicted survival and standard errors for confidence intervals	predict_se
Create simplified 'coxph()' object for shiny app	prep_coxfit
Generates a shiny app for predictions from Cox model(s)	shine_coxph
Obtains information for standard errors of predictions	surv_pred_info