1-Wasserstein projection
W1L1(
X,
Y,
theta = NULL,
penalty = c("none", "lasso", "scad", "mcp"),
model.size = NULL,
lambda = numeric(0),
lambda.min.ratio = 1e-04,
nlambda = 10,
gamma = 1,
display.progress = FALSE,
solver = c("cone", "rqPen", "gurobi", "mosek"),
...
)
WpProj
object
Covariates
Predictions from arbitrary model
Parameters of original linear model. Optional.
penalty term to use. One of "none", "lasso","scad","mcp"
Maximum number of coefficients in interpretable model
Lambdas to use
Minimum lambda to select if choosing lambdas using default methods
number of lambdas to look through
parameter for SCAD and MCP methods
Print intermediate output?
Solver to use. Must be one of "rqPen", "gurobi", "mosek", though "mosek" is preferred.
options to pass to solvers