sfcr_random()function that smartly allows the user to include random variables in the models was introduced in this version. This function is a wrapper around the built-in
runif()functions. The main benefit of using
sfcr_random()is that it smartly guesses the size of the
sfcr_scenario()models they're inserted, as well as the size of the
sfcr_random() function should only be used inside
sfcr_set()s. If used outside this function, it will only print a message saying that it should not be used in this way.
The disallowance of exogenous series introduced in v0.2.0 broke the models that used functions like
rnorm() to add random variation. This version undo this change, allowing exogenous series to be passed along
sfcr_baseline() again. Nonetheless, this utilization is discouraged since it generates unexpected behavior at the
sfcr_scenario() level. Warning messages are raised about these issues.
Prior to v0.2.1, the inclusion of exogenous series at the
sfcr_baseline() level would not be transmitted to the
sfcr_scenario() level since the previous infrastructure of the model only replicated the final values of the
sfcr_baseline() object to fill in the matrix used to generate the initial values at the
This version re-evaluates the expressions created with
sfcr_set() and passed as the
external argument to the
sfcr_baseline() function at the
sfcr_scenario() level. In this way, if a user passes creates a random shock to influence the evolution of endogenous variables at the
sfcr_baseline() level, this behavior will be reproduced at the
sfcr_scenario() level. To avoid complications with different lengths between the two objects, the utilization of
sfcr_random() is recommended.
Note that if an exogenous series is passed to the
sfcr_baseline() function, it will result in an error if the lengths of the models do not coincide, it will generate an error. If the lengths coincide, the model will run, but the exogenous series will be replicated from the start, which is almost never the intended behavior. That's why this functionality will be removed in later versions of the package when the
sfcr_random() function becomes widely adopted.
Constrained the utilization of exogenous series to avoid unexpected behavior and undetected bugs in the models.
Modified the behavior of
sfcr_baseline() to disallow the utilization of exogenous series.
constrained the utilization of exogenous series in the
sfcr_scenario() to make sure that the length of the series matches with the length of the shock.
sfcr_portfolio()function that calculates the matrix of portfolio parameters from a limited vector of parameters by imposing the adding-up and symmetry constraints.
First public release.
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