mcgf (version 1.1.1)

add_lagr.mcgf: Add lagr model outputted from fit_lagr() to a mcgf object.

Description

Add lagr model outputted from fit_lagr() to a mcgf object.

Usage

# S3 method for mcgf
add_lagr(x, fit_lagr, ...)
lagr(x) <- value

Value

x with newly added attributes of the Lagrangian model.

Arguments

x

An mcgf object.

fit_lagr

Output from the fit_lagr() function.

...

Additional arguments. Not in use.

value

A list containing the lagr model as well as its parameters. It must contains model, par_lagr, and cor_lagr.

See Also

Other functions on fitting an mcgf: add_base.mcgf(), fit_base.mcgf(), fit_lagr.mcgf(), krige.mcgf(), krige_new.mcgf()

Examples

data(sim1)
sim1_mcgf <- mcgf(sim1$data, dists = sim1$dists)
sim1_mcgf <- add_acfs(sim1_mcgf, lag_max = 5)
sim1_mcgf <- add_ccfs(sim1_mcgf, lag_max = 5)

# Fit a separable model and store it to 'sim1_mcgf'
fit_sep <- fit_base(
    sim1_mcgf,
    model = "sep",
    lag = 5,
    par_init = c(
        c = 0.001,
        gamma = 0.5,
        a = 0.3,
        alpha = 0.5
    ),
    par_fixed = c(nugget = 0)
)
sim1_mcgf <- add_base(sim1_mcgf, fit_base = fit_sep)

# Fit a Lagrangian model
fit_lagr <- fit_lagr(
    sim1_mcgf,
    model = "lagr_tri",
    par_init = c(v1 = 300, v2 = 300, lambda = 0.15),
    par_fixed = c(k = 2)
)

# Store the fitted Lagrangian model to 'sim1_mcgf'
sim1_mcgf <- add_lagr(sim1_mcgf, fit_lagr = fit_lagr)
model(sim1_mcgf, old = TRUE)