propagate_1step_D: Propagates deterministic model foreworkd from told to tnew

In mcrucifix/iceages: Ice age models and analysis

Propagates deterministic model foreworkd from told to tnew

Usage

propagate_1step_D(model = "t06_f", N, state, par, told, tnew, icalclyap = as.integer(0), ds = 0, lyap = 0, deltat = 0.003, Astro = NULL)

Arguments

model
N
state
par
told
tnew
icalclyap
ds
lyap
deltat
Astro

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (model = "t06_f", N, state, par, told, tnew, icalclyap = as.integer(0), 
    ds = 0, lyap = 0, deltat = 0.003, Astro = NULL) 
{
    Ns <- size_npar_nrow(N, state, par)
    if (is.vector(par)) 
        par <- matrix(par, Ns$N, length(par), byrow = TRUE)
    func <- getNativeSymbolInfo(model$func)$addr
    .Call("c_propagate_d", func, Ns, state, par, told, tnew, 
        icalclyap, ds, lyap, Astro, deltat)
  }

mcrucifix/iceages documentation built on Jan. 11, 2023, 9:17 p.m.