Package: coiaf 0.1.2
coiaf: Complexity of Infection Estimation with Allele Frequencies
Provides a direct method for estimating complexity of infection using easily calculated measures from sequence read depth data.
Authors:
coiaf_0.1.2.tar.gz
coiaf_0.1.2.zip(r-4.5)coiaf_0.1.2.zip(r-4.4)coiaf_0.1.2.zip(r-4.3)
coiaf_0.1.2.tgz(r-4.4-any)coiaf_0.1.2.tgz(r-4.3-any)
coiaf_0.1.2.tar.gz(r-4.5-noble)coiaf_0.1.2.tar.gz(r-4.4-noble)
coiaf_0.1.2.tgz(r-4.4-emscripten)coiaf_0.1.2.tgz(r-4.3-emscripten)
coiaf.pdf |coiaf.html✨
coiaf/json (API)
NEWS
# Install 'coiaf' in R: |
install.packages('coiaf', repos = c('https://plasmogenepi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bailey-lab/coiaf/issues
- example_real_data - Example real data
allele-frequenciescoicomplexity-of-infectionestimation
Last updated 2 years agofrom:3df5509ceb. Checks:OK: 7. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports::=.data%>%as_labelas_namebootstrap_cicompute_coicompute_coi_regressioncont_sensitivitydisc_sensitivityenquoenquoserror_plotlikelihoodoptimize_coioptimize_coi_regressionprocess_realprocess_simsensitivity_plotsim_biallelictheme_coiaftheoretical_coiworld_map
Dependencies:backportsbase64encbootbroombslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigpurrrR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml
Continuous sensitivity analysis
Rendered fromsensitivity_analysis_continuous.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-04-13
Started: 2021-12-27
Discrete sensitivity analysis
Rendered fromsensitivity_analysis_discrete.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-04-13
Started: 2021-12-27
Real data example
Rendered fromexample_real_data.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2022-12-15
Started: 2020-07-08
Simulator details
Rendered fromsimulator_details.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2022-03-08
Started: 2022-03-08
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Generate bootstrapped CI | bootstrap_ci bootstrap_ci.default bootstrap_ci.sim |
Predict the COI | compute_coi |
Compute COI based on residuals of all loci against theoretical curves | compute_coi_regression |
Continuous sensitivity analysis | cont_sensitivity |
Discrete Sensitivity analysis | disc_sensitivity |
Error plot | error_plot |
Example real data | example_real_data |
Likelihood of a COI | likelihood |
Optimize the COI | optimize_coi |
Compute COI based on all points fitted to best fitting curve for COI | optimize_coi_regression |
Plot simulated data | autoplot.sim plot-simulation plot.sim |
Process real data | process_real |
Process simulated data | process_sim |
Sensitivity plot | sensitivity_plot |
Simulate biallelic data | sim_biallelic |
Custom ggplot2 theme | theme_coiaf |
Theoretical COI | theoretical_coi |
World map plot | world_map |