Density, distribution function, quantile function, and random draws from the inverse gamma distribution.
dinvgamma(x, shape, rate, logscale = FALSE)
pinvgamma(x, shape, rate, lower.tail = TRUE, logscale = FALSE)
qinvgamma(p, shape, rate, lower.tail = TRUE, logscale = FALSE)
rinvgamma(n, shape, rate)rinvgamma returns draws from the distribution.
dinvgamma returns the density function.
pinvgamma returns the cumulative distribution function
(or survivor function, if lower.tail == FALSE).
qinvgamma returns quantiles from the distribution.
qinvgamma and pinvgamma are inverse functions.
A vector of deviates where the density or distribution function is to be evaluated.
A vector of probabilities representing CDF values (if
lower.tail == TRUE) or survivor function values (if
lower.tail == FALSE) from the inverse gamma distribution.
The desired number of draws from the inverse gamma distribution.
The shape parameter.
The 'rate' parameter. NOTE: The term 'rate' is used to
match the corresponding parameter in rgamma. Much
of the rest of the world calls this the 'scale' parameter.
Logical. If TRUE then probabilities or density
values are interpreted on the log scale. Otherwise the scale is the
probability or probability density scale.
Logical. If TRUE then cumulative probabilities are measured from zero, as in a CDF. If FALSE then cumulative are measured from infinity, as in a survivor function.
Steven L. Scott steve.the.bayesian@gmail.com