LogLikeFun: LogLikeFun

In LBC: Logistic Box Cox

Description

caculate the log-likelihood value for Maximum Likelihood Estimates in LBC model

Usage

LogLikeFun(bb, ixx, iyy, iw, iZZ)

Arguments

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

Value

a single log-likelihood value

Author(s)

li Xing

Examples

iZZ <- matrix(0,100,10)
ixx <- matrix(0,100,1)
iyy <- matrix(0,100,1)
iw <-matrix(0,100,1)
# ixx: continuous predictor
# iyy: binary outcome
# iZZ: covariates to be incorporated in the model
# iw:  The weighted parameter
# myLBC <-
#   maxLik(
#     logLik = LogLikeFun,
#     grad = ScoreFun,
#     start = inits,
#    ixx = ixx,
#     iyy = iyy,
#    iw = iw,
#   iZZ = as.matrix(iZZ)
#  )
# as.matrix returns all values of iZZ as a matrix

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