t did not help. Has anyone seen this
> behavior before?
> >
> > (When n is 5, the identical() call almost always returns "TRUE". As n
> increases, the proportion of FALSE results increases, and it is nearly
> always FALSE when n is 50.)
> >
> > Jesse
&
is
> > behavior before?
> >
> > (When n is 5, the identical() call almost always returns "TRUE". As n
> > increases, the proportion of FALSE results increases, and it is nearly
> > always FALSE when n is 50.)
> >
> > Jesse
> >
> >
Hello Christofer,
Just writing with a detailed follow-up. Attached is a script I was able to get
running with a bit of work. I did not include the script in the ext of this
email. It is only attached.
Optimization Progress
We were initially aiming to solve the dual-slope constrained ordinal mo
ses, and it is nearly always
> FALSE when n is 50.)
>
> Jesse
>
> ***
>
> n <- 50
> set.seed(20250504)
> Sigma <- rWishart(1, df = n, Sigma = diag(n))[,,1]
> e1 <- eigen(Sigma)
> e2 <- eigen(Sigma)
> identical(e1, e2)
>
> __
ely before each
eigen() call, but that did not help. Has anyone seen this behavior before?
(When n is 5, the identical() call almost always returns "TRUE". As n
increases, the proportion of FALSE results increases, and it is nearly always
FALSE when n is 50.)
Jesse
***
n <- 50
s
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