ppredNormIG1 | R Documentation |
ppredNormIG1 returns the cumulative predictive probability of future observations based on
ppredNormIG1( ypred, y, mu0 = 0, k0 = 1, sig20 = 1, nu0 = 1, S = 1e+05, Jeffreys = FALSE )
ypred |
vector of values for which predictive probability is desired |
y |
vector of (observed) Normally-distributed values |
mu0 |
mean of prior observations (set default) |
k0 |
number of prior observations (default is 1) |
sig20 |
variance of prior observations (set default) |
nu0 |
number of prior observations (default is 1) |
S |
size of random sample used for density approximation (default is 10^5) |
Jeffreys |
flag for use of Jeffrey's prior |
random sample of size n Normal - Inverse Gamma predictive probability
1
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.