Package: coala 0.7.2
coala: A Framework for Coalescent Simulation
Coalescent simulators can rapidly simulate biological sequences evolving according to a given model of evolution. You can use this package to specify such models, to conduct the simulations and to calculate additional statistics from the results (Staab, Metzler, 2016 <doi:10.1093/bioinformatics/btw098>). It relies on existing simulators for doing the simulation, and currently supports the programs 'ms', 'msms' and 'scrm'. It also supports finite-sites mutation models by combining the simulators with the program 'seq-gen'. Coala provides functions for calculating certain summary statistics, which can also be applied to actual biological data. One possibility to import data is through the 'PopGenome' package (<https://github.com/pievos101/PopGenome>).
Authors:
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coala/json (API)
NEWS
# Install 'coala' in R: |
install.packages('coala', repos = c('https://statgenlmu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/statgenlmu/coala/issues
coalescentdnaevolutionpopgensimulation
Last updated 9 months agofrom:017fbc7ad8. Checks:OK: 3 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
R-4.4-win-x86_64 | NOTE | Oct 31 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 31 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 31 2024 |
R-4.3-win-x86_64 | NOTE | Oct 31 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 31 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 31 2024 |
Exports:activate_msactivate_msmsactivate_scrmactivate_seqgenas.segsitescalc_sumstats_from_datacheck_modelcoal_modelcreate_abc_paramcreate_abc_sumstatcreate_segsitesfeat_growthfeat_ignore_singletonsfeat_migrationfeat_mutationfeat_outgroupfeat_pop_mergefeat_recombinationfeat_selectionfeat_size_changefeat_unphasedget_featuresget_locus_lengthget_locus_length_matrixget_locus_numberget_outgroupget_outgroup_sizeget_parameterget_parameter_tableget_population_individualsget_populationsget_positionsget_sample_sizeget_snpsget_summary_statisticsget_trio_locusis_segsiteslist_simulatorslocus_averagedlocus_singlelocus_triopar_constpar_exprpar_namedpar_priorpar_rangepar_variationpar_zero_inflationscale_modelset_positionsset_trio_locussumstat_classsumstat_dnasumstat_filesumstat_four_gametesumstat_ihhsumstat_jsfssumstat_mcmfsumstat_nucleotide_divsumstat_omegasumstat_seg_sitessumstat_sfssumstat_tajimas_dsumstat_trees
Dependencies:assertthatdigestR6RcppRcppArmadillorehhrehh.datascrm
Adding Summary Statistics and Simulators
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2024-03-03
Started: 2015-11-11
Examples
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2024-03-03
Started: 2016-02-02
Importing Genetic Data into Coala
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2024-03-03
Started: 2015-12-01
Introduction to Coala
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2024-03-03
Started: 2015-11-11
Using Coala for Approximate Bayesian Computation
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usingknitr::rmarkdown
on Oct 31 2024.Last update: 2024-03-03
Started: 2015-11-11
Using External Simulators
Rendered fromcoala-install.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2024-03-03
Started: 2015-11-11