adapt: Fit an adaptive lasso model.
In wrbrooks/adapt: The adaptive lasso for linear regression

This function produces a linear regression model via the adaptive lasso. Given a formula, a data.frame, and a selection.method, adapt will fit a linear model for the predictor in the formula, using the data, that minimizes the selection.method.

adapt(formula, data, family = gaussian, weights,
  selection.criterion = c("AIC", "BIC", "AICc", "CV", "CV.overshrink"),
  selectonly = FALSE, na.action = NULL, subset = NULL, offset = NULL,
  ...)

`formula`	symbolic representation of the model variables
`data`	data.frame containing observations of the covariates and response from the formula
`weights`	vector of observation weights or the name of the column that gives the observation weights.
`selection.criterion`	criterion to minimize in selection step of model fitting
`selectonly`	use the adaptive lasso only for selection, doing coefficient estimation via OLS?
`na.action`	how to handle NAs in the data
`subset`	vector indicating which observations to use in model fitting
`offset`	vector of offsets or the name of the offset variable in the data. The offset is added to the linear predictor for the corresponding observation.