The family of apply_*_pattern() functions that are used to expand fmls
by specified patterns. These functions are not intended to be used directly
but as internal functions. They have been exposed to allow for potential
user-defined use cases.
Usage
apply_pattern(x, pattern)
apply_fundamental_pattern(x)
apply_direct_pattern(x)
apply_sequential_pattern(x)
apply_parallel_pattern(x)
apply_rolling_interaction_pattern(x)Value
Returns a tbl_df object that has special column names and rows.
Each row is essentially a precursor to a new formula.
These columns and rows must be present to be used with the fmls()
function, and generally are the expected result of the specified pattern.
They will undergo further internal modification prior to being turned into
a fmls object, but this is an developer consideration. If developing a
pattern, please use this guide to ensure that the output is compatible with
the fmls() function.
outcome: a single term that is the expected outcome variable
exposure: a single term that is the expected exposure variable, which may not be present in every row
covariate_*: the covariates expand based on the number that are present (e.g. "covariate_1", "covariate_2", etc)