compute.nv: Compute Normal Vector

In gentok/ipbridging: Bridging Ideal Point Estimates

Description

Compute Normal Vector

Usage

compute.nv(xmat, resp, nv.method, ...)

Arguments

xmat	Matrix of OC coordinates (i.e., predictors).
resp	Response Variable (i.e., ordered choices).
nv.method	Method of normal vector estimation. Following pre-defined methods are currently available: "oprobit": Ordered probit regression (calls polr function from MASS package) "ologit": Ordered logistic regression (calls polr function from MASS package) "svm.reg": Support Vector Regression (calls nv.svm function) "svm.class": Support Vector Classification with dichotomized response (calls nv.svm function) "krls": Kernel Regularized Least Squares (calls nv.krls function). Alternatively, one can set custom made function that (at least) feeds in xmat and resp arguments and returns the vector of coefficients (the length must be equal to the number of columns of xmat).
...	Additional arguments passed to the function assigned by nv.method.

Value

The vector of normal vector estimates.

Author(s)

Tzu-Ping Liu [e-mail], Gento Kato [e-mail], and Sam Fuller [e-mail].

gentok/ipbridging documentation built on March 29, 2020, 3:06 a.m.