Bayes.fit-class {mixedsde} | R Documentation |
S4 class for the Bayesian estimation results
Description
S4 class for the Bayesian estimation results
Slots
sigma2
vector of posterior samples for
\sigma^2
mu
matrix of posterior samples for
\mu
omega
matrix of posterior samples for
\omega
alpha
matrix of posterior samples for
\alpha
beta
matrix of posterior samples for
\beta
random
1, 2 or c(1,2)
burnIn
proposal for the burn-in phase
thinning
proposal for the thinning rate
model
'OU' or 'CIR'
prior
list of prior values, input variable or calculated by the first 10% of series
times
vector of observation times, storage of input variable
X
matrix of observations, storage of input variable
ind.4.prior
indices of series used for the prior parameter calculation, if prior knowledge is availabe it is set to M+1
[Package mixedsde version 5.0 Index]