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
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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'))

Peer review:

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 205 downloads 5 exports 27 dependencies

Last updated 4 years agofrom:8bd170b3de. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winNOTENov 03 2024
R-4.5-linuxNOTENov 03 2024
R-4.4-winNOTENov 03 2024
R-4.4-macNOTENov 03 2024
R-4.3-winNOTENov 03 2024
R-4.3-macNOTENov 03 2024

Exports:get_latent_modellogitexpmake_cutoffsmake_n_cutoffssenspec

Dependencies:clicpp11digestdplyrfansigenericsgluelatticelifecyclemagrittrmaxLikmiscToolspillarpkgconfigpurrrR6rlangsandwichstringistringrtibbletidyrtidyselectutf8vctrswithrzoo

Attributable fraction using a latent class model

Rendered fromlatentclass.Rmdusingknitr::rmarkdownon Nov 03 2024.

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

Attributable fraction using a logitexponetial model

Rendered fromaf_logit_exponential.Rmdusingknitr::rmarkdownon Nov 03 2024.

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