dinvgamma evaluates the density at x. rinvgamma takes
n draws from the inverse Gamma distribution. The parameterization is
consistent with the Gamma Distribution in the stats package.
Details
An inverse gamma random variable with shape $a$ and scale
$b$ has mean $b/(a-1)$ (assuming $a>1$) and
variance $(b^2)/((a-1)^2 (a-2))$ (assuming
$a>2$).
References
Andrew Gelman, John B. Carlin, Hal S. Stern, and Donald
B. Rubin. 2004. Bayesian Data Analysis. 2nd Edition. Boca Raton:
Chapman & Hall.