min_abs {SEL} | R Documentation |
Find gamma given Delta
Description
Find gamma so that squareroot of average squared distance of fitted
distribution and statements is equal to Delta
(using the
uniroot
function). This function is
not meant to be called by the user, unless one is familiar with the
source code.
Usage
min_abs(Delta, N, alpha, P, A, b, lb, ub, dplus = 0)
Arguments
Delta |
Average root of squared error to be achieved with fitted distribution. |
N |
Matrix containing the B-spline basis functions evaluated at the elicited quantiles. |
alpha |
Vector giving the levels of the elicited quantiles. |
P |
Penalty matrix (called Omega in reference below). |
A , b |
Matrix and vector containing the specifying the constraints A'b >= 0. |
lb , ub |
lower and upper bound to search for gamma. |
dplus |
offset integral needed when divergence instead of entropy is used. |
Value
Returns gamma
Author(s)
Bjoern Bornkamp
References
Bornkamp, B. and Ickstadt, K. (2009). A Note on B-Splines for Semiparametric Elicitation. The American Statistician, 63, 373–377