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:Meraj Hashemi [cre, aut, com], Kristan Schneider [aut, ths]

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'))

Peer review:

Bug tracker:https://github.com/mhashemihsmw/mlmoi/issues

On CRAN:

datadata-visualizationdataanalysisdatapreprocessingdatawranglingstatistical-models

4.30 score 2 scripts 120 downloads 3 exports 8 dependencies

Last updated 12 months agofrom:bf3957cfaf. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

Exports:moimergemoimlemoimport

Dependencies:gmpopenxlsxrbibutilsRcppRdpackRmpfrstringizip

Arguments of Import Function - moimport

Rendered frommoimport-arguments.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2023-11-27
Started: 2019-02-21

Data Import Check-list

Rendered fromdataimportcheck-list.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2023-11-27
Started: 2019-02-21

Examples

Rendered fromexamples.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2023-11-27
Started: 2019-02-21

Standard Ambiguity Codes

Rendered fromStandardAmbiguityCodes.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2023-11-27
Started: 2019-02-21