This function store the values in the environment and update
their values in the closed form expression of y, except the parameter
sigma, shape and raw_z. For parameter sigma, its value will be updated,
and the corresponding value in e will be updated. For parameter shape, its
value will be updated, and the corresponding value in raw_z will be
updated. For parameter raw_z, its value will be updated, and the
corresponding value in z will be updated.
Arguments
- prm_name
List or Vector. Parameter character names.
- prm_val
List or Vector. Parameter values.
Examples
# Instantiate
mod <- poly_model(shape = 2, sigma = 0.5)
mod
#>
#> ── <POLY_MODEL object>
#> y = 1 + x + include_z * z + e
#> - x: <RAND_UNIFORM object>
#> [a: -1, b: 1]
#> - z: <CLOSED_FORM object>
#> EXPR = (raw_z - min(raw_z))/max(raw_z - min(raw_z)) * 2 - 1
#> - raw_z: <CLOSED_FORM object>
#> EXPR = hermite(shape)((x - min(x))/max(x - min(x)) * 4 - 2)
#> - x: <RAND_UNIFORM object>
#> [a: -1, b: 1]
#> - e: <RAND_NORMAL object>
#> [mu: 0, sigma: 0.5]
#> Parameters:
#> - shape: 2
#> - include_z: TRUE
#> - sigma: 0.5
mod$set_prm("shape", 4)
mod
#>
#> ── <POLY_MODEL object>
#> y = 1 + x + include_z * z + e
#> - x: <RAND_UNIFORM object>
#> [a: -1, b: 1]
#> - z: <CLOSED_FORM object>
#> EXPR = (raw_z - min(raw_z))/max(raw_z - min(raw_z)) * 2 - 1
#> - raw_z: <CLOSED_FORM object>
#> EXPR = hermite(shape)((x - min(x))/max(x - min(x)) * 4 - 2)
#> - x: <RAND_UNIFORM object>
#> [a: -1, b: 1]
#> - e: <RAND_NORMAL object>
#> [mu: 0, sigma: 0.5]
#> Parameters:
#> - shape: 4
#> - include_z: TRUE
#> - sigma: 0.5
mod$set_prm("sigma", 1)
mod
#>
#> ── <POLY_MODEL object>
#> y = 1 + x + include_z * z + e
#> - x: <RAND_UNIFORM object>
#> [a: -1, b: 1]
#> - z: <CLOSED_FORM object>
#> EXPR = (raw_z - min(raw_z))/max(raw_z - min(raw_z)) * 2 - 1
#> - raw_z: <CLOSED_FORM object>
#> EXPR = hermite(shape)((x - min(x))/max(x - min(x)) * 4 - 2)
#> - x: <RAND_UNIFORM object>
#> [a: -1, b: 1]
#> - e: <RAND_NORMAL object>
#> [mu: 0, sigma: 1]
#> Parameters:
#> - shape: 4
#> - include_z: TRUE
#> - sigma: 1