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parameter-settings.R
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parameter-settings.R
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#' The Parameter Settings for the Methods and the Simulations
#' For debugging. Only a limited number of parameter settings is used, see
#' parameter-settings.R. Only
test_run <- FALSE
#' Parameter settings for the algorithms ------------------
algo_param <- data.frame(
expand.grid(
))
#' Parameter settings for the simulation study ------------
if (test_run) { # simplify the parameters for a test run - this is debugging
only_sim_param <- dplyr::as_tibble(
expand.grid(
n_patients = c(20),
simulation_time = c(10),
prob_exposed = c(0.01),
avg_duration = c(5),
min_chance = c(1e-5),
max_chance = c(.1)
)
)
risk_models <- dplyr::tibble(
risk_model = c(
'no-association',
'current-use',
'past-use',
'withdrawal',
'delayed',
'decaying',
'delayed+decaying',
'long-term'
)
)
sim_param <- merge(risk_models, only_sim_param)
#' Parameters of the different risk models -----------------------------------
#' no association ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "no-assocation"
))
sim_method_all <- sim_method
#' current use ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "current-use"
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' past use ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "past-use",
past = c(5, 10)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' withdrawal ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "withdrawal",
rate = c(.5, 1)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' delayed ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "delayed",
mu = c(2, 5),
sigma = c(2)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' decaying ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "decaying",
rate = c(.5, 1)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' delayed + decaying ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "delayed+decaying",
mu = c(10),
sigma = c(2),
rate = c(.5)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' long term ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "long-term",
rate = c(.25),
delay = c(50)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' Combine all parameters for the simulations and the methods
sim_param <- suppressWarnings(dplyr::left_join(sim_param, sim_method_all))
#' provide a specific id to each parameter setting. This makes it
#' easier to process the results later on when there are repetitions
sim_param$sim_param_id <- 1:nrow(sim_param)
} else {
################################################################################
# PARAMETER SETTINGS FULL STUDY
################################################################################
only_sim_param <- dplyr::as_tibble(
expand.grid(
n_patients = c(1000),
simulation_time = c(100),
prob_exposed = c(0.01, 0.1,.5),
avg_duration = c(5),
min_chance = c(1e-4, 1e-3),
max_chance = c(.01,.1,.2,.3)
)
)
# only_sim_param <- dplyr::tibble(
# n_patients = c(1000),
# simulation_time = c(100),
# prob_exposed = c(0.05, 0.05, 0.05, 0.01, 0.01, 0.1, 0.1, 0.5),
# avg_duration = c(5),
# min_chance = c(1e-3, 5*1e-4, 1e-4, 5*1e-4, 1e-3, 5*1e-4, 1e-3, 1e-3),
# max_chance = c(.3, .01, 0.01, 0.01, .3, 0.01, .3, .3)
# )
risk_models <- dplyr::tibble(
risk_model = c(
'no-association',
'current-use',
'past-use',
'withdrawal',
'delayed',
'decaying',
'delayed+decaying',
'long-term'
)
)
sim_param <- merge(risk_models, only_sim_param)
#' Parameters of the different risk models -----------------------------------
#' no association ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "no-assocation"
))
sim_method_all <- sim_method
#' current use ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "current-use"
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' past use ---------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "past-use",
past = c(5, 10)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' withdrawal --------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "withdrawal",
rate = c(.5, 1)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' delayed --------------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "delayed",
mu = c(2, 5),
sigma = c(2)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' decaying -----------------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "decaying",
rate = c(.5, 1)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' delayed + decaying --------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "delayed+decaying",
mu = c(10),
sigma = c(2),
rate = c(.5)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' long term -----------------------
sim_method <- dplyr::as_tibble(
expand.grid(
risk_model = "long-term",
rate = c(.25),
delay = c(50)
))
sim_method_all <- dplyr::full_join(sim_method_all, sim_method)
#' Combine all parameters for the simulations and the methods
sim_param <- suppressWarnings(dplyr::left_join(sim_param, sim_method_all))
#' provide a specific id to each parameter setting. This makes it
#' easier to process the results later on when there are repetitions
sim_param$sim_param_id <- 1:nrow(sim_param)
}