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-rw-r--r--man/mkinpredict.Rd26
1 files changed, 13 insertions, 13 deletions
diff --git a/man/mkinpredict.Rd b/man/mkinpredict.Rd
index f9eec532..524abbb5 100644
--- a/man/mkinpredict.Rd
+++ b/man/mkinpredict.Rd
@@ -43,8 +43,8 @@
"lsoda" is performant, but sometimes fails to converge.
}
\item{use_compiled}{
- If set to \code{FALSE}, no compiled version of the \code{\link{mkinmod}}
- model is used, even if is present.
+ If set to \code{FALSE}, no compiled version of the \code{\link{mkinmod}}
+ model is used, even if is present.
}
\item{atol}{
Absolute error tolerance, passed to \code{\link{ode}}. Default is 1e-8,
@@ -56,7 +56,7 @@
}
\item{map_output}{
Boolean to specify if the output should list values for the observed
- variables (default) or for all state variables (if set to FALSE).
+ variables (default) or for all state variables (if set to FALSE).
}
\item{\dots}{
Further arguments passed to the ode solver in case such a solver is used.
@@ -71,20 +71,20 @@
\examples{
SFO <- mkinmod(degradinol = list(type = "SFO"))
# Compare solution types
- mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
+ mkinpredict(SFO, c(k_degradinol_sink = 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_sink = 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_sink = 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_sink = 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_sink = 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_sink = 0.3), c(degradinol = 100), 0:20,
method = "lsoda")[21,]
mkinpredict(SFO, c(k_degradinol_sink = 0.3), c(degradinol = 100), 0:20,
method = "ode45")[21,]
@@ -94,9 +94,9 @@
# 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_sink = 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_sink = 0.3), c(degradinol = 100),
seq(0, 20, by = 0.01))[2001,]
# Check compiled model versions - they are faster than the eigenvalue based solutions!
@@ -108,11 +108,11 @@
solution_type = "eigen")[201,]))
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),
+ c(parent = 100, m1 = 0), seq(0, 20, by = 0.1),
solution_type = "deSolve")[201,]))
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),
+ c(parent = 100, m1 = 0), seq(0, 20, by = 0.1),
solution_type = "deSolve", use_compiled = FALSE)[201,]))
}
\keyword{ manip }

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