Function to compute the bounds on the coefficients of the common regressors.
compute_bnds_betac(
sample1 = NULL,
info0,
values,
constraint = NULL,
c_sign0,
nc_sign0,
refs0,
c_var,
nc_var,
sam0,
info1 = NULL,
constr = TRUE,
R2bound = NULL,
values_sel = NULL
)a matrix containing the bounds on the coefficients associated to the common regressor.
if NULL compute the point estimate, if a natural number then evaluate a bootstrap or subsampling replication.
the results of the estimates (point and bootstrap/subsampling replications) for betanc. No default.
the different unique points of support of the common regressor Xc.
a vector indicating the different constraints in a vector of the size of X_c indicating the type of constraints, if any on f(X_c) : "concave", "concave", "nondecreasing", "nonincreasing", "nondecreasing_convex", "nondecreasing_concave", "nonincreasing_convex", "nonincreasing_concave", or NULL for none. Default is NULL, no contraints at all.#'
sign restrictions on the commonly observed regressors: -1 for a minus sign, 1 for a plus sign, 0 otherwise. Default is NULL, i.e. no constraints.
sign restrictions on the non-commonly observed regressors Xnc: -1 for a minus sign, 1 for a plus sign, 0 otherwise. Default is NULL, i.e. no constraints.
indicating the positions in the vector values corresponding to the components of betac.
label of the commonly observed regressors Xc.
label of the non commonly observed regressors Xnc.
the directions q where the radial function has been computed.
the results of the point estimates for betac. Default is NULL.
if sign constraints imposed. Default is TRUE.
the lower bound on the R2 of the long regression if any. Default is NULL.
the selected values of Xc for the conditioning. Default is NULL.