Description Usage Arguments Value
given a fitted mortalityModel, plot the profile of the log-likelihood function for a given pair of parameters. this can take a while if the likelihood takes a while to evaluate and/or the resolution is chosen to be large
1 2 | plot.ll.prof(fit, theta.idx = c(1:2), delta = 0.1, res = 200,
heatmap = FALSE)
|
fit |
a mortalityFit object |
theta.idx |
vector with the indexes of the two parameters to plot against each other; for example, in a four-parameter model, to examine the profile of the likelihood as parameters one and three vary, pass in theta.idx=c(1,3) |
delta |
window around the fitted max to profile. if delta is 0.1, then plot values for (0.9*max, 1.1*max), where max is the fitted maximum parameter value |
res |
the resolution, or size of the grid on which the likelihood is evaluated. large grids may take a long time |
heatmap |
if TRUE, return a heatmap for each pair of parameters; otherwise, return a contour plot |
a ggplot2 plots of the profile
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