HessFun: HessFun
In LBC: Logistic Box Cox

calculate the Hessian matrix

1	HessFun(bb, ixx, iyy, iw, iZZ)

`bb`	initial values for the intercept and slope coefficients
`ixx`	continuous predictor
`iyy`	binary outcome
`iw`	the weighted parameter
`iZZ`	covariates to be incorporated in the model

the Hessian matrix

iZZ <- matrix(0,100,10)
ixx <- matrix(0,100,1)
iyy <- matrix(0,100,1)
iw <-matrix(0,100,1)
# HessFun <- function(bb, ixx, iyy, iw, iZZ)

LBC documentation built on Nov. 15, 2021, 9:07 a.m.

LBC index

my-vignette

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description