From c6079a807e2b400fe0c772603392aeacd887da2f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 8 May 2019 20:57:48 +0200 Subject: Add functionality to plot the error model by plotting squared residuals against predicted values, and showing the variance function used in the fitted error model. Rebuild docs --- docs/reference/mkinpredict.html | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'docs/reference/mkinpredict.html') diff --git a/docs/reference/mkinpredict.html b/docs/reference/mkinpredict.html index 522cbbfe..8e2e307b 100644 --- a/docs/reference/mkinpredict.html +++ b/docs/reference/mkinpredict.html @@ -328,17 +328,17 @@ c(parent = 100, m1 = 0), seq(0, 20, by = 0.1), solution_type = "eigen")[201,]))
#> time parent m1 #> 201 20 4.978707 27.46227
#> User System verstrichen -#> 0.003 0.000 0.003
system.time( +#> 0.003 0.000 0.004
system.time( print(mkinpredict(SFO_SFO, c(k_parent_m1 = 0.05, k_parent_sink = 0.1, k_m1_sink = 0.01), c(parent = 100, m1 = 0), seq(0, 20, by = 0.1), solution_type = "deSolve")[201,]))
#> time parent m1 #> 201 20 4.978707 27.46227
#> User System verstrichen -#> 0.001 0.000 0.002
system.time( +#> 0.002 0.000 0.001
system.time( print(mkinpredict(SFO_SFO, c(k_parent_m1 = 0.05, k_parent_sink = 0.1, k_m1_sink = 0.01), c(parent = 100, m1 = 0), seq(0, 20, by = 0.1), solution_type = "deSolve", use_compiled = FALSE)[201,]))
#> time parent m1 #> 201 20 4.978707 27.46227
#> User System verstrichen -#> 0.021 0.000 0.022
+#> 0.021 0.000 0.021
# Predict from a fitted model f <- mkinfit(SFO_SFO, FOCUS_2006_C)
#> Ordinary least squares optimisation
#> Sum of squared residuals at call 1: 552.5739 #> Sum of squared residuals at call 3: 552.5739 -- cgit v1.2.1