Nothing
########### Likelihood for Discrete-Time Dynamics ################
make.exp.Dproc <- function()
{
exp.Dproc <- function(coefs,bvals,pars,more)
{
devals = exp(as.matrix(bvals[1:(nrow(bvals)-1),]%*%coefs))
ddevals = exp(as.matrix(bvals[2:nrow(bvals),]%*%coefs))
colnames(devals) = more$names
colnames(ddevals) = more$names
names(pars) = more$parnames
f = more$fn(ddevals,more$qpts,devals,pars,more$more)
return( sum(f) )
}
exp.dDproc.dc <- function(coefs,bvals,pars,more)
{
devals = exp(as.matrix(bvals[1:(nrow(bvals)-1),]%*%coefs))
ddevals = exp(as.matrix(bvals[2:nrow(bvals),]%*%coefs))
colnames(devals) = more$names
colnames(ddevals) = more$names
names(pars) = more$parnames
g1 = more$dfdx(ddevals,more$qpts,devals,pars,more$more)*devals
g2 = more$dfdy(ddevals,more$qpts,devals,pars,more$more)*ddevals
g = as.vector( t(bvals[1:(nrow(bvals)-1),])%*%g1 + t(bvals[2:nrow(bvals),])%*%g2 )
return(g)
}
exp.dDproc.dp <- function(coefs,bvals,pars,more)
{
devals = exp(as.matrix(bvals[1:(nrow(bvals)-1),]%*%coefs))
ddevals = exp(as.matrix(bvals[2:nrow(bvals),]%*%coefs))
colnames(devals) = more$names
colnames(ddevals) = more$names
names(pars) = more$parnames
g = more$dfdp(ddevals,more$qpts,devals,pars,more$more)
g = apply(g,2,sum)
return(g)
}
exp.d2Dproc.dc2 <- function(coefs,bvals,pars,more)
{
devals = exp(as.matrix(bvals[1:(nrow(bvals)-1),]%*%coefs))
ddevals = exp(as.matrix(bvals[2:nrow(bvals),]%*%coefs))
colnames(devals) = more$names
colnames(ddevals) = more$names
names(pars) = more$parnames
g1 = more$dfdx(ddevals,more$qpts,devals,pars,more$more)*devals
g2 = more$dfdy(ddevals,more$qpts,devals,pars,more$more)*ddevals
H1 = more$d2fdx2(ddevals,more$qpts,devals,pars,more$more)
H2 = more$d2fdxdy(ddevals,more$qpts,devals,pars,more$more)
H3 = more$d2fdy2(ddevals,more$qpts,devals,pars,more$more)
#H = array(0,c(rep(dim(bvals[1:(nrow(bvals)-1),])[2],2),rep(dim(devals)[2],2)))
H = list(len=dim(bvals)[2])
for(i in 1:dim(devals)[2]){
H[[i]] = list(len=dim(devals))
for(j in 1:dim(devals)[2]){
H[[i]][[j]] = t(bvals[1:(nrow(bvals)-1),])%*%diag(devals[,i]*H1[,i,j]*devals[,j])%*%bvals[1:(nrow(bvals)-1),] +
t(bvals[1:(nrow(bvals)-1),])%*%diag(devals[,i]*H2[,i,j]*ddevals[,j])%*%bvals[2:nrow(bvals),] +
t(bvals[2:nrow(bvals),])%*%diag(ddevals[,i]*H2[,j,i]*devals[,j])%*%bvals[1:(nrow(bvals)-1),] +
t(bvals[2:nrow(bvals),])%*%diag(ddevals[,i]*H3[,i,j]*ddevals[,j])%*%bvals[2:nrow(bvals),]
}
H[[i]][[i]] = H[[i]][[i]] + t(bvals[1:(nrow(bvals)-1),])%*%diag(g1[,i])%*%bvals[1:(nrow(bvals)-1),] +
t(bvals[2:nrow(bvals),])%*%diag(g2[,i])%*%bvals[2:nrow(bvals),]
}
H = blocks2mat(H)
return(H)
}
exp.d2Dproc.dcdp <- function(coefs,bvals,pars,more)
{
devals = exp(as.matrix(bvals[1:(nrow(bvals)-1),]%*%coefs))
ddevals = exp(as.matrix(bvals[2:nrow(bvals),]%*%coefs))
colnames(devals) = more$names
colnames(ddevals) = more$names
names(pars) = more$parnames
H1 = more$d2fdxdp(ddevals,more$qpts,devals,pars,more$more)
H2 = more$d2fdydp(ddevals,more$qpts,devals,pars,more$more)
H = c()
for(i in 1:length(pars)){
H = cbind(H,as.vector(t(bvals[1:(nrow(bvals)-1),])%*%(devals*H1[,,i]) +
t(bvals[2:nrow(bvals),])%*%(ddevals*H2[,,i])))
}
return(H)
}
return(
list(
fn = exp.Dproc,
dfdc = exp.dDproc.dc,
dfdp = exp.dDproc.dp,
d2fdc2 = exp.d2Dproc.dc2,
d2fdcdp = exp.d2Dproc.dcdp
)
)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.