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authorJohannes Ranke <jranke@uni-bremen.de>2020-05-07 22:13:33 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2020-05-07 22:14:19 +0200
commit92bd33824bde6b6b21bfc7e30953092a74d3cce5 (patch)
treebb2e08ef15d8a4f4f7b04cf4f5312ec861ec1d1c /R/mkinpredict.R
parent67c8163487e776e9a378c9dfcd39c74f6e6bc507 (diff)
Another overhaul of analytical solutions
Still in preparation for analytical solutions of coupled models
Diffstat (limited to 'R/mkinpredict.R')
-rw-r--r--R/mkinpredict.R22
1 files changed, 11 insertions, 11 deletions
diff --git a/R/mkinpredict.R b/R/mkinpredict.R
index 0f8e83bb..df51dbe3 100644
--- a/R/mkinpredict.R
+++ b/R/mkinpredict.R
@@ -43,36 +43,36 @@
#'
#' SFO <- mkinmod(degradinol = mkinsub("SFO"))
#' # Compare solution types
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100), 0:20,
#' solution_type = "analytical")
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100), 0:20,
#' solution_type = "deSolve")
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100), 0:20,
#' solution_type = "deSolve", use_compiled = FALSE)
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100), 0:20,
#' solution_type = "eigen")
#'
#' # Compare integration methods to analytical solution
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100), 0:20,
#' solution_type = "analytical")[21,]
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100), 0:20,
#' method = "lsoda")[21,]
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100), 0:20,
#' method = "ode45")[21,]
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100), 0:20,
#' method = "rk4")[21,]
#' # rk4 is not as precise here
#'
#' # The number of output times used to make a lot of difference until the
#' # default for atol was adjusted
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100),
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100),
#' seq(0, 20, by = 0.1))[201,]
-#' mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100),
+#' mkinpredict(SFO, c(k_degradinol = 0.3), c(degradinol = 100),
#' seq(0, 20, by = 0.01))[2001,]
#'
#' # Check compiled model versions - they are faster than the eigenvalue based solutions!
#' SFO_SFO = mkinmod(parent = list(type = "SFO", to = "m1"),
-#' m1 = list(type = "SFO"))
+#' m1 = list(type = "SFO"), use_of_ff = "min")
#' if(require(rbenchmark)) {
#' benchmark(
#' eigen = mkinpredict(SFO_SFO, c(k_parent_m1 = 0.05, k_parent_sink = 0.1, k_m1_sink = 0.01),

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