MARSAdapted {boostingDEA}  R Documentation 
Create an adapted version of Multivariate Adaptive Regression Splines (MARS) model to estimate a production frontier satisfying some classical production theory axioms, such as monotonicity and concavity.
MARSAdapted(
data,
x,
y,
nterms,
Kp = 1,
d = 2,
err_red = 0.01,
minspan = 0,
endspan = 0,
linpreds = FALSE,
na.rm = TRUE
)
data 

x 
Column input indexes in 
y 
Column output indexes in 
nterms 
Maximum number of reflected pairs created by the forward algorithm of MARS. 
Kp 
Maximum degree of interaction allowed. Default is 
d 
Generalized Cross Validation (GCV) penalty per knot. Default is

err_red 
Minimum reduced error rate for the addition of two new basis
functions. Default is 
minspan 
Minimum number of observations between knots. When

endspan 
Minimum number of observations before the first and after the
final knot. When 
linpreds 

na.rm 

An AdaptedMARS
object.