continuous_nav: Estimating the Dose Response Function given the Generalized...
In williazo/gps.continuousnav:

This function estimates the fitted value from a linear hierarchical mixed effects model, with the generalized propensiy score and treatment occuring at the highest level

1	continuous_nav(formula, data, tx, intervals = 50, covs, ...)

`formula`	This is a formula object specifying the dose-response model
`data`	This is the data frame used to fit the model
`tx`	This is the continuous treatment vector
`intervals`	Specify the number of intervals to include.
`covs`	Matrix of observed covariates
`interact_vars`	Specifies a character subset of the variables from the matrix covs and adds in pairwise interactions between all included covariates
`polynomial_vars`	Specifies a character subset of variables from the matrix covs to include as polynomial terms
`polynomial_deg`	Scalar value that identifies to what power the polynomial variable should be raised