From 42171ba55222383a0d47e5aacd46a972819e7812 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 15 Apr 2020 18:13:04 +0200 Subject: Include random effects in starting parameters - mean_degparms() now optionally returns starting values for fixed and random effects, which makes it possible to obtain acceptable fits also in more difficult cases (with more parameters) - Fix the anova method, as it is currently not enough to inherit from lme: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17761 - Show fit information, and per default also errmin information in plot.nlme.mmkin() - Examples for nlme.mmkin: Decrease tolerance and increase the number of iterations in the PNLS step in order to be able to fit FOMC-SFO and DFOP-SFO --- docs/reference/plot.mmkin.html | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) (limited to 'docs/reference/plot.mmkin.html') diff --git a/docs/reference/plot.mmkin.html b/docs/reference/plot.mmkin.html index a513756b..ef5718e5 100644 --- a/docs/reference/plot.mmkin.html +++ b/docs/reference/plot.mmkin.html @@ -184,7 +184,7 @@ values, with the error model, using mkinerrplot standardized

Should the residuals be standardized? This option -is passed to mkinresplot, it only takes effect if +is passed to mkinresplot, it only takes effect if `resplot = "time"`.

@@ -237,13 +237,13 @@ latex is being used for the formatting of the chi2 error level.

fits <- mmkin(c("FOMC", "HS"), list("FOCUS B" = FOCUS_2006_B, "FOCUS C" = FOCUS_2006_C), # named list for titles cores = 1, quiet = TRUE, error_model = "tc")
#> Warning: Optimisation did not converge: -#> iteration limit reached without convergence (10)
plot(fits[, "FOCUS C"])
plot(fits["FOMC", ])
+#> iteration limit reached without convergence (10)
plot(fits[, "FOCUS C"])
plot(fits["FOMC", ])
plot(fits["FOMC", ], show_errmin = FALSE)
# We can also plot a single fit, if we like the way plot.mmkin works, but then the plot # height should be smaller than the plot width (this is not possible for the html pages # generated by pkgdown, as far as I know). - plot(fits["FOMC", "FOCUS C"]) # same as plot(fits[1, 2])
+ plot(fits["FOMC", "FOCUS C"]) # same as plot(fits[1, 2])
# Show the error models - plot(fits["FOMC", ], resplot = "errmod")
# } + plot(fits["FOMC", ], resplot = "errmod")
# }
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