Package: moire 3.3.2

Maxwell Murphy

moire: Multiplicity of Infection and Allele Frequency Recovery from Noisy Polyallelic Genetics Data

A Markov Chain Monte Carlo (MCMC) based approach to Bayesian estimation of individual level multiplicity of infection, within host relatedness, and population allele frequencies from polyallelic genetic data.

Authors:Maxwell Murphy [aut, cre], Bryan Greenhouse [aut, ths]

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NEWS

# Install moire in R:
install.packages('moire', repos = c('https://plasmogenepi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/eppicenter/moire/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • mcmc_results - MCMC results from using the packaged simulated data and calling 'run_mcmc()'
  • simulated_data - Simulated genotyping data

On CRAN:

genomicsmalariamcmc

24 exports 7 stars 1.85 score 40 dependencies

Last updated 3 days agofrom:13b35e2f2f0194d2fa37833883cd4bf37b680a53

Exports:calculate_hecalculate_med_allele_freqscalculate_naive_allele_frequenciescalculate_naive_coicalculate_naive_coi_offsetload_delimited_dataload_long_form_dataplot_chain_swapsrdirichletrun_mcmcsimulate_allele_frequenciessimulate_datasimulate_observed_allelesimulate_observed_genotypesimulate_sample_coisimulate_sample_genotypesummarize_allele_freq_fnsummarize_allele_freqssummarize_coisummarize_effective_coisummarize_epsilon_negsummarize_epsilon_possummarize_hesummarize_relatedness

Dependencies:BHclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcppRcppParallelRcppProgressrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Application to Namibia

Rendered fromnamibia.Rmdusingknitr::rmarkdownon Jun 28 2024.

Last update: 2024-06-20
Started: 2024-03-18

MCMC Demonstration

Rendered frommcmc_demo.Rmdusingknitr::rmarkdownon Jun 28 2024.

Last update: 2023-12-19
Started: 2020-08-24