This function runs a deterministic one-way sensitivity analysis (OWSA) on a given function that produces outcomes.
run_owsa_det(
params_range,
params_basecase,
nsamp = 100,
FUN,
outcomes = NULL,
strategies = NULL,
progress = TRUE,
...
)
data.frame with 3 columns in the following order: "pars",
"min", and "max". The number of samples from this range is
determined by nsamp
. "pars" are the parameters of interest and must be a subset of
the parameters from params_basecase
.
a named list of basecase values for input parameters needed by FUN
,
the user-defined function.
number of sets of parameter values to be generated. If NULL
, 100 parameter
values are used
function that takes the basecase in params_basecase
and ...
to
produce the outcome
of interest. The FUN
must return a dataframe
where the first column are the strategy names and the rest of the columns must be outcomes.
string vector with the outcomes of interest from FUN
produced by nsamp
vector of strategy names. The default NULL
will use
strategy names in FUN
TRUE
or FALSE
for whether or not function progress
should be displayed in console.
Additional arguments to user-defined FUN
A list containing dataframes with the results of the sensitivity analyses.
The list will contain a dataframe for each outcome specified.
List elements can be visualized with plot.owsa
,
owsa_opt_strat
and
owsa_tornado
from dampack
params_range
"pars" are the names of the input parameters of interest. These are the parameters that will
be varied in the deterministic sensitivity analysis. variables in "pars" column
must be a subset of variables in params_basecase
"min" and "max" are the mininum and maximum values of the parameters of interest.