data(exps)
data(experiment_list1)
data(observables)
## Generate the knowledge object with correct parameter value
knobj <- generate_our_knowledge(transform_params)
## Initialize with some data
knobj$datas[[1]] <- list(
manip = experiment_list1$nothing,
data = add_noise(
simulate_experiment(knobj$global_parameters$true_params_T, knobj, experiment_list1$nothing)[
knobj$global_parameters$tspan %in% observables[["mrnaLow"]]$reso,
observables[["mrnaLow"]]$obs
]
)
)
knobj$experiments <- paste("nothing", "mrnaLow")
## Decrease parameter values for the example
knobj$global_parameters$max_it <- 2
knobj$global_parameters$n_simu_weights <- 2
knobj$global_parameters$sample_burn_in <- 5
knobj$global_parameters$sample_to_keep1 <- 2
knobj$global_parameters$n_multi_mod <- 2
knobj$global_parameters$final_sample <- 2
knobj$global_parameters$final_sample_design <- 2
## Run the active design (this takes quite some time)
#knobj <- active_design(knobj,
# sample_function_single_mod, seed = 1, credits = 400)
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