plotPosteriorN {dga} | R Documentation |
Plots the model averaged posterior distribution of the total number of elements (the solid line) and the contribution to the posterior of each of the models (dotted lines)
plotPosteriorN(weights, N, main = NULL)
weights |
The output of BMAfunction. |
N |
N + Nmissing. Or, if you prefer, just Nmissing. The former shows the posterior distribution of the total population size; the latter shows the posterior distribution of the number of missing elements. |
main |
the title of the plot |
A plot.
Kristian Lum kl@hrdag.org
##### 5 list example from M & Y #######
delta <- .5
Y <- c(0, 27, 37, 19, 4, 4, 1, 1, 97, 22, 37, 25, 2, 1, 3, 5,
83, 36, 34, 18, 3, 5, 0, 2, 30, 5, 23, 8, 0, 3, 0, 2)
Y <- array(Y, dim = c(2, 2, 2, 2, 2))
Nmissing <- 1:300
N <- Nmissing + sum(Y)
data(graphs5)
weights <- bma.cr(Y, Nmissing, delta, graphs5)
plotPosteriorN(weights, N)
##### 3 list example from M & Y #######
Y <- c(0, 60, 49, 4, 247, 112, 142, 12)
Y <- array(Y, dim = c(2, 2, 2))
delta <- 1
a <- 13.14
b <- 55.17
Nmissing <- 1:300
N <- Nmissing + sum(Y)
logprior <- N * log(b) - (N + a) * log(1 + b) + lgamma(N + a) - lgamma(N + 1) - lgamma(a)
data(graphs3)
weights <- bma.cr(Y, Nmissing, delta, graphs3, logprior)
plotPosteriorN(weights, N)