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.

Version: 0.1.1
Depends: R (≥ 3.3.0)
Imports: XLConnect (≥ 0.2-15), rJava (≥ 0.9-10), Rdpack (≥ 0.10-1), Rmpfr (≥ 0.7-1)
Suggests: knitr, rmarkdown
Published: 2020-01-10
Author: Meraj Hashemi [cre, aut, com], Kristan Schneider [aut, ths]
Maintainer: Meraj Hashemi <mhashemi at>
License: GPL-3
NeedsCompilation: no
CRAN checks: MLMOI results


Reference manual: MLMOI.pdf
Vignettes: Standard Ambiguity Codes
Data Import Check-list
Arguments of Import Function


Package source: MLMOI_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MLMOI_0.1.1.tgz, r-release (x86_64): MLMOI_0.1.1.tgz, r-oldrel: MLMOI_0.1.1.tgz


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