diff options
Diffstat (limited to 'man/mkinpredict.Rd')
| -rw-r--r-- | man/mkinpredict.Rd | 26 |
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 } |