coatless
commented
5 days ago @lgawarec Mmm, there might be a hang up in how the exponential distributions are implemented.
If we're using R's implementation, this rests upon:
$$f(w) = \lambda e^{-\lambda w}$$
However, visualize.exp() function signature is noting a $\theta$ parameterization:
$$f(x) = \frac{1}{\theta} e^{-x/\theta}$$
Though, glancing at the source:
We're directly using R's implementation.
So, we'll need to apply a conversion between the two of a quick division:
$\theta=\frac{1}{\lambda}$ and $\lambda=\frac{1}{\theta}$
Thanks for finding the bug!
The mean and variance displayed are incorrect. For example visualize.exp(1,theta=2,"lower") pexp(1,rate=2)
give the same probabilities, but mu=2 and sigma^2=4 are displayed instead of mu = 0.5 and sigma^2=0.25.