From 1ef7008be2a72a0847064ad9c2ddcfa16b055482 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 3 May 2019 19:14:15 +0200 Subject: Improve error model fitting Now we have a three stage fitting process for nonconstant error models: - Unweighted least squares - Only optimize the error model - Optimize both Static documentation rebuilt by pkgdown --- docs/reference/IORE.solution.html | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'docs/reference/IORE.solution.html') diff --git a/docs/reference/IORE.solution.html b/docs/reference/IORE.solution.html index c9b79512..c67c2a37 100644 --- a/docs/reference/IORE.solution.html +++ b/docs/reference/IORE.solution.html @@ -182,9 +182,9 @@ print(data.frame(fit.fomc$par, fit.iore$par, fit.iore.deS$par, row.names = paste("model par", 1:4)))
#> fit.fomc.par fit.iore.par fit.iore.deS.par -#> model par 1 85.87488995 85.874890 85.874890 -#> model par 2 0.05192228 -4.826631 -4.826631 -#> model par 3 0.65096650 1.949403 1.949403 +#> model par 1 85.87489063 85.874890 85.874890 +#> model par 2 0.05192238 -4.826631 -4.826631 +#> model par 3 0.65096665 1.949403 1.949403 #> model par 4 1.85744396 1.857444 1.857444
print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes, iore.deS = endpoints(fit.iore)$distimes))
#> DT50 DT90 DT50back #> fomc 1.785233 15.1479 4.559973 -- cgit v1.2.1