Package: MLMOI 0.1.2
MLMOI: Estimating Frequencies, Prevalence and Multiplicity of Infection
The implemented methods reach out to scientists that seek to estimate multiplicity of infection (MOI) and lineage (allele) frequencies and prevalences at molecular markers using the maximum-likelihood method described in Schneider (2018) <doi:10.1371/journal.pone.0194148>, and Schneider and Escalante (2014) <doi:10.1371/journal.pone.0097899>. Users can import data from Excel files in various formats, and perform maximum-likelihood estimation on the imported data by the package's moimle() function.
Authors:
MLMOI_0.1.2.tar.gz
MLMOI_0.1.2.zip(r-4.5)MLMOI_0.1.2.zip(r-4.4)MLMOI_0.1.2.zip(r-4.3)
MLMOI_0.1.2.tgz(r-4.4-any)MLMOI_0.1.2.tgz(r-4.3-any)
MLMOI_0.1.2.tar.gz(r-4.5-noble)MLMOI_0.1.2.tar.gz(r-4.4-noble)
MLMOI_0.1.2.tgz(r-4.4-emscripten)MLMOI_0.1.2.tgz(r-4.3-emscripten)
MLMOI.pdf |MLMOI.html✨
MLMOI/json (API)
# Install 'MLMOI' in R: |
install.packages('MLMOI', repos = c('https://mhashemihsmw.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mhashemihsmw/mlmoi/issues
datadata-visualizationdataanalysisdatapreprocessingdatawranglingstatistical-models
Last updated 12 months agofrom:bf3957cfaf. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Arguments of Import Function - moimport
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2023-11-27
Started: 2019-02-21
Data Import Check-list
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2023-11-27
Started: 2019-02-21
Examples
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2023-11-27
Started: 2019-02-21
Standard Ambiguity Codes
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2023-11-27
Started: 2019-02-21