Package: accept 1.0.0.999

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]

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accept.pdf |accept.html✨
accept/json (API)
NEWS

# 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:

8 exports 9 stars 1.82 score 91 dependencies 1 mentions 16 scripts 428 downloads

Last updated 1 years agofrom:8964d23eaa. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 12 2024
R-4.5-win	OK	Sep 12 2024
R-4.5-linux	OK	Sep 12 2024
R-4.4-win	OK	Sep 12 2024
R-4.4-mac	OK	Sep 12 2024
R-4.3-win	OK	Sep 12 2024
R-4.3-mac	OK	Sep 12 2024

Exports:accept accept1 accept2 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 colorspace cpp11 crayon curl densEstBayes desc digest distributional dplyr ellipsis fansi farver fs generics ggplot2 glue gridExtra gtable hardhat hms httr inline isoband jsonlite labeling lattice lifecycle lobstr loo magrittr MASS Matrix matrixStats mgcv mime munsell nlme numDeriv openssl pillar pins pkgbuild pkgconfig posterior prettyunits processx progress ps purrr QuickJSR R6 rapidoc rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel readr reldist rlang rstan rstantools scales 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
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