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rubias  

Bayesian Inference from the Conditional Genetic Stock Identification Model
View on CRAN: Click here


Download and install rubias package within the R console
Install from CRAN:
install.packages("rubias")

Install from Github:
library("remotes")
install_github("cran/rubias")

Install by package version:
library("remotes")
install_version("rubias", "0.3.4")



Attach the package and use:
library("rubias")
Maintained by
Eric C. Anderson
[Scholar Profile | Author Map]
First Published: 2018-01-29
Latest Update: 2024-01-24
Description:
Implements Bayesian inference for the conditional genetic stock identification model. It allows inference of mixed fisheries and also simulation of mixtures to predict accuracy. A full description of the underlying methods is available in a recently published article in the Canadian Journal of Fisheries and Aquatic Sciences: .
How to cite:
Eric C. Anderson (2018). rubias: Bayesian Inference from the Conditional Genetic Stock Identification Model. R package version 0.3.4, https://cran.r-project.org/web/packages/rubias. Accessed 27 Mar. 2025.
Previous versions and publish date:
0.1.0 (2018-01-29 11:12), 0.2.0 (2019-02-02 20:30), 0.3.0 (2019-06-10 17:00), 0.3.1 (2020-04-02 22:10), 0.3.2 (2021-01-15 20:10), 0.3.3 (2022-02-10 01:10)
Other packages that cited rubias R package
View rubias citation profile
Other R packages that rubias depends, imports, suggests or enhances
Complete documentation for rubias
Functions, R codes and Examples using the rubias R package
Some associated functions: Hasselman_sim_colls . a_freq_list . alewife . allelic_list . assess_pb_bias_correction . assess_reference_loo . assess_reference_mc . avg_coll2correctRU . blueback . bootstrap_rho . check_known_collections . check_refmix . chinook . chinook_collection_levels . chinook_mix . chinook_repunit_levels . close_matching_samples . count_missing_data . custom_pi_prior . dirch_from_allocations . dirch_from_counts . geno_logL . geno_logL_ssq . get_ploidy_from_frame . gprob_sim_gc . gprob_sim_gc_missing . gprob_sim_ind . gsi_em_1 . gsi_mcmc_1 . gsi_mcmc_fb . infer_mixture . list_diploid_params . mixture_draw . modify_scaled_likelihoods_for_known_mixture_fish . per_locus_means_and_vars . perfect_chinook . perfect_chinook_mix . pipe . rcpp_close_matchers . rcpp_indiv_specific_logl_means_and_vars . rcpp_per_locus_logls . read_gsi_sim . ref_and_mix_pipeline . reference_allele_counts . round2 . rubias . samp_from_mat . self_assign . sim_spec_examples . simulate_random_samples . small_chinook_mix . small_chinook_ref . tcf2long . tcf2param_list . tidy_mcmc_coll_rep_stuff . tidy_mcmc_pofz . tidy_pi_traces . write_gsi_sim_mixture . write_gsi_sim_reference . 
Some associated R codes: RcppExports.R . assess_pb_bias_correction.R . assess_reference_loo.R . assess_reference_mc.R . check_known_collections.R . close_matching_samples.R . count_missing_data.R . custom_pi_prior.R . data.R . data_conversion.R . eca-internal-funcs.R . import.R . infer_mixture.R . modify-scaled-likelihoods-for-known-mixture-fish.R . per_locus_means_and_vars.R . read_gsi_sim.R . rubias.R . self_assign.R . simulate_random_samples.R . simulation_pipelines.R . utilities.R . write_gsi_sim_mixture.R . write_gsi_sim_reference.R .  Full rubias package functions and examples
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