Package: afdx 1.1.1

afdx: Diagnosis Performance Using Attributable Fraction

Estimate diagnosis performance (Sensitivity, Specificity, Positive predictive value, Negative predicted value) of a diagnostic test where can not measure the golden standard but can estimate it using the attributable fraction.

Authors:John J. Aponte [aut, cre], Orvalho Augusto [aut]

afdx_1.1.1.tar.gz
afdx_1.1.1.zip(r-4.5)afdx_1.1.1.zip(r-4.4)afdx_1.1.1.zip(r-4.3)
afdx_1.1.1.tgz(r-4.5-any)afdx_1.1.1.tgz(r-4.4-any)afdx_1.1.1.tgz(r-4.3-any)
afdx_1.1.1.tar.gz(r-4.5-noble)afdx_1.1.1.tar.gz(r-4.4-noble)
afdx_1.1.1.tgz(r-4.4-emscripten)afdx_1.1.1.tgz(r-4.3-emscripten)
afdx.pdf |afdx.html✨
afdx/json (API)

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

Bug tracker:https://github.com/johnaponte/afdx/issues

Datasets:
  • malaria_df1 - Synthetic data simulating a malaria crossectional
  • malaria_df2 - Synthetic data simulating a malaria crossectional

On CRAN:

4.00 score 1 stars 7 scripts 267 downloads 5 exports 27 dependencies

Last updated 4 years agofrom:8bd170b3de. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-winNOTEFeb 01 2025
R-4.5-macNOTEFeb 01 2025
R-4.5-linuxNOTEFeb 01 2025
R-4.4-winNOTEFeb 01 2025
R-4.4-macNOTEFeb 01 2025
R-4.3-winNOTEFeb 01 2025
R-4.3-macNOTEFeb 01 2025

Exports:get_latent_modellogitexpmake_cutoffsmake_n_cutoffssenspec

Dependencies:clicpp11digestdplyrfansigenericsgluelatticelifecyclemagrittrmaxLikmiscToolspillarpkgconfigpurrrR6rlangsandwichstringistringrtibbletidyrtidyselectutf8vctrswithrzoo

Attributable fraction using a latent class model

Rendered fromlatentclass.Rmdusingknitr::rmarkdownon Feb 01 2025.

Last update: 2021-05-23
Started: 2021-02-07

Attributable fraction using a logitexponetial model

Rendered fromaf_logit_exponential.Rmdusingknitr::rmarkdownon Feb 01 2025.

Last update: 2021-03-20
Started: 2021-02-01