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-4.7)MLMOI_0.1.2.zip(r-4.6)MLMOI_0.1.2.zip(r-4.5)
MLMOI_0.1.2.tgz(r-4.6-any)MLMOI_0.1.2.tgz(r-4.5-any)
MLMOI_0.1.2.tar.gz(r-4.7-any)MLMOI_0.1.2.tar.gz(r-4.6-any)
MLMOI_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

Conda:

datadata-visualizationdataanalysisdatapreprocessingdatawranglingstatistical-models

4.30 score 2 scripts 164 downloads 3 exports 8 dependencies

Last updated from:bf3957cfaf. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK176
linux-release-x86_64OK128
macos-release-arm64OK163
macos-oldrel-arm64OK136
windows-develOK75
windows-releaseOK80
windows-oldrelOK83
wasm-releaseOK94

Exports:moimergemoimlemoimport

Dependencies:gmpopenxlsxrbibutilsRcppRdpackRmpfrstringizip

Arguments of Import Function - moimport

Rendered frommoimport-arguments.Rmdusingknitr::rmarkdownon May 14 2026.

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

Data Import Check-list

Rendered fromdataimportcheck-list.Rmdusingknitr::rmarkdownon May 14 2026.

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

Examples

Rendered fromexamples.Rmdusingknitr::rmarkdownon May 14 2026.

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

Standard Ambiguity Codes

Rendered fromStandardAmbiguityCodes.Rmdusingknitr::rmarkdownon May 14 2026.

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