Builds a pesto_pst object from R data structures, without
requiring an existing .pst file.
Usage
create_pest_scenario(
parameters,
observations,
model_command,
template_files = NULL,
instruction_files = NULL,
pestpp_options = list()
)Arguments
- parameters
data.table. Parameter definitions with columns:
parnme,partrans,parchglim,parval1,parlbnd,parubnd,pargp.- observations
data.table. Observation definitions with columns:
obsnme,obsval,weight,obgnme.- model_command
Character. Model command line(s).
- template_files
data.table. Template/model input file pairs with columns
template_file,model_file.- instruction_files
data.table. Instruction/model output file pairs with columns
instruction_file,model_file.- pestpp_options
Named list. PEST++ options.
Examples
pars <- data.table::data.table(
parnme = c("k1", "k2"),
partrans = "log",
parchglim = "factor",
parval1 = c(1.0, 0.5),
parlbnd = c(0.01, 0.001),
parubnd = c(100, 50),
pargp = "hydraulic"
)
obs <- data.table::data.table(
obsnme = c("h1", "h2"),
obsval = c(1.0, 2.0),
weight = c(1.0, 1.0),
obgnme = "head"
)
pst <- create_pest_scenario(
parameters = pars,
observations = obs,
model_command = "python model.py"
)
inherits(pst, "pesto_pst")
#> [1] TRUE
pst$control_data$npar
#> [1] 2