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
mu
matrix of posterior samples for
omega
matrix of posterior samples for
alpha
matrix of posterior samples for
beta
matrix of posterior samples for
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]