Package: accept 1.2.0

Amin Adibi

accept: The Acute COPD Exacerbation Prediction Tool (ACCEPT)

Allows clinicians to predict the rate and severity of future acute exacerbation in Chronic Obstructive Pulmonary Disease (COPD) patients, based on the clinical prediction models published in Adibi et al. (2020) <doi:10.1016/S2213-2600(19)30397-2> and Safari et al. (2022) <doi:10.1016/j.eclinm.2022.101574>.

Authors:Amin Adibi [aut, cre], Mohsen Sadatsafavi [aut, cph], Abdollah Safari [aut], Ainsleigh Hill [aut]

accept_1.2.0.tar.gz
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accept_1.2.0.tgz(r-4.6-any)accept_1.2.0.tgz(r-4.5-any)
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accept_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
accept/json (API)

# Install 'accept' in R:

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

Bug tracker:https://github.com/resplab/accept/issues

Datasets:

samplePatients - Sample Patient Characteristics Inputs

On CRAN:

5.53 score 10 stars 19 scripts 337 downloads 1 mentions 10 exports 90 dependencies

Last updated from:66d595a1f9. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	278
source / vignettes	OK	238
linux-release-x86_64	OK	196
macos-release-arm64	OK	170
macos-oldrel-arm64	OK	150
windows-devel	OK	180
windows-release	OK	225
windows-oldrel	OK	208
wasm-release	OK	160

Exports:accept accept1 accept2 accept3 accept3_cprd plotExacerbations plotHeatMap predictCountProb set_openai_api_key show_openai_api_key

Dependencies:abind askpass backports BH bit bit64 bundle butcher callr cereal checkmate cli clipr cpp11 crayon curl densEstBayes desc digest distributional dplyr farver fs generics ggplot2 glue gridExtra gtable hardhat hms httr inline isoband jsonlite labeling lattice lifecycle lobstr loo magrittr MASS Matrix matrixStats mgcv mime nlme numDeriv openssl otel pillar pins pkgbuild pkgconfig posterior prettyunits processx progress ps purrr QuickJSR R6 rapidoc rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel readr reldist rlang rstan rstantools S7 scales sparsevctrs StanHeaders sys tensorA tibble tidyselect tzdb utf8 vctrs vetiver viridisLite vroom whisker withr yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
A flexible version of ACCEPT 2.0 model, which imputes predictors using MICE approach.	accept
Predicts COPD exacerbation rate by severity level based on Acute COPD Exacerbation Tool (ACCEPT)	accept1
Predicts COPD exacerbation rate by severity level based on the updated accept2 model, which improves accuracy in patients without an exacerbation history.	accept2
Predicts country-specific COPD exacerbation risk based on ACCEPT 3.0 model with external recalibration	accept3
Predicts COPD exacerbation risk for UK primary-care patients using ACCEPT 3.0-CPRD	accept3_cprd
Model handler functions for API endpoint	handler_predict.accept_model
Creates bar graph comparing no treatment with azithromycin treatment	plotExacerbations
Creates heatmap of number of exacerbations	plotHeatMap
Model predictions	predict.accept_model
Predicts probability of observing n exacerbations in the next year	predictCountProb
Sample Patient Characteristics Inputs	samplePatients
Set OpenAI API key	set_openai_api_key
View saved openAI API key	show_openai_api_key
Create a vetiver model object description	vetiver_create_description.accept_model
Metadata constructors for `vetiver_model()` object	vetiver_create_meta.accept_model
Create a vetiver input data prototype	vetiver_ptype.accept_model