print_iteration: print_iteration

In hlennon/copulaIVTS: Dependence modelling of a digitised Gaussian ARMA(p,q) copula model for Integer-Valued Time Series

Description

print_iteration Gives the updated parameter values in correct form

Usage

print_iteration(para, p, q, diff, finish, t, m)

Arguments

para	vector of updated parameter values
p	ar order
q	ma order
diff	difference from last iteration
method	"Delta_l_x" or "MA_1" or "MA_k" : Stopping Criteria used
t	index of iteration
m	number of Monte-Carlo samples used in eevaluating the E-step

Details

None

Value

prints updated values of the iterations

Author(s)

Hannah Lennon <[e-mail]>

Examples

print_iteration(c(0.4, 0.4, 0.4), 2, 2, 4, TRUE, 10,  1)



## The function is currently defined as
print_iteration<-function(para, p, q, diff, finish, t, m){


            if(p==1){
                        cat(t-1, 'phi1=', para[1],  'theta1=', para[(p+1)], 'theta2=', para[(p+2)], 'Delta_x=',
                            diff, 'Stop?=', finish,  "m=", m,'\n')
            }

            if(p==2){
                        cat(t-1, 'phi1=', para[1], 'phi2=', para[2],  'theta1=', para[(p+1)], 'theta2=', para[(p+2)], 'Delta_x=',
                            diff, 'Stop?=', finish,  "m=", m,'\n')
            }


}

hlennon/copulaIVTS documentation built on Dec. 20, 2021, 4:45 p.m.