Package: rPACI 0.2.2

Darío Ramos-López

rPACI: Placido Analysis of Corneal Irregularity

Analysis of corneal data obtained from a Placido disk corneal topographer with calculation of irregularity indices. This package performs analyses of corneal data obtained from a Placido disk corneal topographer, with the calculation of the Placido irregularity indices and the posterior analysis. The package is intended to be easy to use by a practitioner, providing a simple interface and yielding easily interpretable results. A corneal topographer is an ophthalmic clinical device that obtains measurements in the cornea (the anterior part of the eye). A Placido disk corneal topographer makes use of the Placido disk [Rowsey et al. (1981)]<doi:10.1001/archopht.1981.03930011093022>, which produce a circular pattern of measurement nodes. The raw information measured by such a topographer is used by practitioners to analyze curvatures, to study optical aberrations, or to diagnose specific conditions of the eye (e.g. keratoconus, an important corneal disease). The rPACI package allows the calculation of the corneal irregularity indices described in [Castro-Luna et al. (2020)]<doi:10.1016%2Fj.clae.2019.12.006>, [Ramos-Lopez et al. (2013)]<doi:10.1097%2FOPX.0b013e3182843f2a>, and [Ramos-Lopez et al. (2011)]<doi:10.1097/opx.0b013e3182279ff8>. It provides a simple interface to read corneal topography data files as exported by a typical Placido disk topographer, to compute the irregularity indices mentioned before, and to display summary plots that are easy to interpret for a clinician.

Authors:Darío Ramos-López [aut, cre], Ana D. Maldonado [aut]

rPACI_0.2.2.tar.gz
rPACI_0.2.2.zip(r-4.7-any)rPACI_0.2.2.zip(r-4.6-any)rPACI_0.2.2.zip(r-4.5-any)
rPACI_0.2.2.tgz(r-4.6-any)rPACI_0.2.2.tgz(r-4.5-any)
rPACI_0.2.2.tar.gz(r-4.7-any)rPACI_0.2.2.tar.gz(r-4.6-any)
rPACI_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rPACI/json (API)

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

Bug tracker:https://github.com/dariorlual/rpaci/issues

On CRAN:

Conda:

5.02 score 4 stars 13 scripts 245 downloads 11 exports 77 dependencies

Last updated from:c2a8f76ef3. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE202
source / vignettesOK254
linux-releaseNOTE196
macos-releaseNOTE155
macos-oldrelNOTE197
windows-develNOTE97
windows-releaseNOTE102
windows-oldrelNOTE103
wasm-releaseOK129

Exports:analyzeDatasetanalyzeEvolutionanalyzeFileanalyzeFoldercomputePlacidoIndicesplotSingleCorneareadCSOreadFilereadrPACIsimulateDatawriterPACI

Dependencies:abindbackportsbnlearnbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Corneal topographers and data formats
Commercial topographers using the Placido disk | Export data from a topographer | Data file formats read by rPACI | CSO Topographers format | rPACI Dataset Format | References

Last update: 2021-11-03
Started: 2021-08-11

Workflow of the rPACI package
Package installation | Available datasets | Reading data | readCSO() | readrPACI() | readFile() | Saving data | Computing the Placido irregularity indices | Plotting the results | Using the wrapper function to analyze one external file | Using the wrapper function to analyze one dataset | Analyzing multiple patients simultaneously | Analyzing one patient over time | Summary | References

Last update: 2021-11-03
Started: 2021-08-11

Mathematical definition of the Placido irregularity indices
Data structure | Primary indices | Normalization of the primary indices | Combined indices | GLPI index | NBI index | References

Last update: 2021-08-12
Started: 2021-08-11

Simulating corneal datasets
Example 1: Default simulation | Example 2: Setting basic parameters (number of rings, points per ring, and diameter) | Example 3: Circles with unequally distributed radii | Example 4: Adding mire displacement | Example 5: Elliptic mires | Example 6: Random Cartesian noise | Example 7: Highly irregular pattern, combining different perturbations

Last update: 2021-08-12
Started: 2021-08-11