clikcorr.profileplot: Graphical function for visualizing bivariate profile...

In clikcorr: Censoring Data and Likelihood-Based Correlation Estimation

Description

Produces a plot of the profile log likelihood function.

Usage

## S3 method for class 'clikcorr'
plot(x, type = "l", lwd = 2, col = "red", ...)

Arguments

x	a "clikcorr" object.
type	line type.
lwd	line weight.
col	line color.
...	not used.

Details

produces a plot of the profile log likelihood function.

Author(s)

Yanming Li, Kerby Shedden, Brenda W. Gillespie and John A. Gillespie.

References

Yanming Li, Kerby Shedden, Brenda W. Gillespie and John A. Gillespie (2016). Calculating Profile Likelihood Estimates of the Correlation Coefficient in the Presence of Left, Right or Interval Censoring and Missing Data.

Examples

data(ND)
logND <- log(ND)
logND1 <- logND[51:90,]

obj <- clikcorr(logND1, "t1_OCDD", "t2_OCDD", "t1_HxCDF_234678", "t2_HxCDF_234678")
plot(obj, type="o")

## Not run: 
obj <- clikcorr(logND, "t1_OCDD", "t2_OCDD", "t1_HxCDF_234678", "t2_HxCDF_234678")
plot(obj, type="o", col="blue", lwd=1)

## End(Not run)

clikcorr documentation built on May 1, 2019, 7:29 p.m.