View source: R/FIPS_simulate.R
FIPS_simulate | R Documentation |
FIPS_simulate
is used to apply a particular BMM simulation to a FIPS_df
.
It will dispatch to the selected model simulation type and then return the df with
the fitted model columns added on as a FIPS_simulation
object.
FIPS_simulate(FIPS_df, modeltype = NULL, pvec, model_formula = NULL)
FIPS_df |
A valid FIPS_df series that has not already been modelled |
modeltype |
String: either |
pvec |
Parameter vector (named list), see default pvecs for guidance. |
model_formula |
An optional formula describing how the time-varying processes predictors should be calculated for the predicted output. See details. |
If the formula argument is omitted, then default prediction values will be returned: KSS and alertness for TPM, and fatigue (i.e., lapses) for unified.
The formula argument takes the form of an R formula expression (e.g., y ~ c + s
).
The term of the left-hand side (e.g., y
) defines the variable name
The term(s) on the right-hand side define how the variable is computed
All variables must be defined in your enviornment or in the FIPS_simulation output (e.g., s, c, l, w
for "TPM").
Parameter vector and other variable arguments must be placed in I(expression)
format. For example,
fatigue ~ s + c + I(pvec[["KSS_beta"]])
.
a FIPS_simulation object
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