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 hs-mittweida.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: MLMOI results

Downloads:

Reference manual: MLMOI.pdf
Vignettes: Standard Ambiguity Codes
Data Import Check-list
Examples
Arguments of Import Function
Package source: MLMOI_0.1.1.tar.gz
Windows binaries: r-devel: MLMOI_0.1.1.zip, r-devel-gcc8: MLMOI_0.1.1.zip, r-release: MLMOI_0.1.1.zip, r-oldrel: MLMOI_0.1.1.zip
OS X binaries: r-release: MLMOI_0.1.1.tgz, r-oldrel: MLMOI_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MLMOI to link to this page.