Description Usage Arguments Value Examples
This function generates semi-random deviates from a continuous bivariate distribution with the supplied joint probability density function via Markov Chain Monte Carlo.
1 | projectq3c(n, jpdf, ...)
|
n |
number of observations. If length(n) > 1, the length is taken to be the number required. |
jpdf |
a function that is the joint pdf of the distribution |
... |
further arguments passed to or from other methods. |
data.frame of semi-random deviates
1 2 3 4 | plot(projectq3c(n = 10000, jpdf = jdunif))
plot(projectq3c(n = 10000, jpdf = jdunif, min = -1, max = 1))
plot(projectq3c(n = 10000, jpdf = jdcirclecontour))
plot(projectq3c(n = 10000, jpdf = jdnorm, r = 0.75))
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