sensi.trm: Compute the sensitivity of TRM to coefficients modification.

In km20/tbn: Tweedie Bayesian Network

Description

Compute the sensitivity of TRM to coefficients modification. The returned value corresponds to the local sensitivity of a Tweedie Bayesian network.

Usage

sensi.trm(beta, phi, p, db, X)

Arguments

beta	a vector of regression coefficients.
phi	the dispersion parameter of the Tweedie regression model.
p	the power parameter of the Tweedie regression model.
db	a vector of modification of the Tweedie regression coefficients.
X	a data frame containing the variables in the model.

Value

This function returns the sensitivity of the tweedie regression model induced by the regression coefficients modification.

Examples

## Not run: 
sensi.trm(c(0.2,0,0,1,-2),1,2, c(-0.1,0,0,-0.2,0), X)

## End(Not run)

km20/tbn documentation built on May 29, 2019, 11:44 a.m.