Description Usage Arguments Details Author(s) Examples
Plot an ecss object created by ecss
for diagnostics.
1 2 3 |
x |
An |
n.target |
The sample size of interest at which the ECSS is evaluated. |
tol |
not to be changed by user |
tol2 |
only change if result is NA |
... |
arguments passed to |
Takes an ecss
object and draws D
(e.g. MSE if specified when calling ecss
) for the prior of interest and baseline prior which can be useful to understand whether small changes could have changed estimation of the effective current sample size.
Manuel Wiesenfarth
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # standard deviation
sigma=1
# baseline
rob=c(0,10)
vague <-mixnorm(vague=c(1, rob), sigma=sigma)
# prior with nominal prior ESS=50
inf=c(0,1/sqrt(50))
info <-mixnorm(informative=c(1, inf), sigma=sigma)
m=.2 #data mean
n=100 # sample size
e=ecss(info,m=m,sigma=sigma,n=n,
n.target=1:100,min.ecss = -100,prior.base = vague)
plot(e,n.target=100)
|
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