Description Usage Arguments Value
View source: R/reassortment_model.R
Simulate evolution of mixture by reassortment and/or mutation, for many replicates
1 2 3 4 5 | run_default_pars(MOI = 1, iv = c(95, 0, 0, 5), fitness_MW = 0,
fitness_WM = 1.25, fitness_MM = 1, mutation_prob = 2e-04,
reassort = TRUE, pop_size = 1e+06, burst_size = 10,
MOI_dependent_burst_size = TRUE, choose_strain_by_fitness = FALSE,
sim_name, hash)
|
MOI |
multiplicity of infection = number of virions/number of cells |
iv |
numeric vector of length n_strains = 4. Initial proportions of [mt, mt], [mt, wt], [wt, mt], [wt, wt]. |
fitness_MW |
fitness of the PB1 mutant |
fitness_WM |
fitness of the PA mutant |
fitness_MM |
fitness of the double mutant |
mutation_prob |
probability of mutation for each new virion. Assume same for pb1 and pa. |
reassort |
logical. If TRUE, random reassortment of segments occurs before packaging. If FALSE, each strain in the cell effectively produces pre-packaged viruses |
pop_size |
numeric vector of length 1. Number of virions. |
burst_size |
numeric vector of length 1. Burst size from a cell infected with one virion with fitness 1. |
sim_name |
character vector for naming of output file |
hash |
character vector: git hash for tagging run |
matrix of dim c(generations * n_replicates, n_strains + 1). Concatenated simulation results for n_replicates simulations with the above model parameters.
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