plot.clikcorr {clikcorr} | R Documentation |
Graphical function for visualizing bivariate profile likelihood.
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 |
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)
[Package clikcorr version 1.0 Index]