function_profiler <- function() {
parameter_loader()
Rprof(tmp <- tempfile())
hu <- kalman_filter(yraw, pp, hh,
prior_constant_variance,
gg, kk, ll,
density_size,
dimension)
Rprof()
summaryRprof(tmp)
}
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