trend_c {GauPro}

Trend R6 class

Description

Trend R6 class

Trend R6 class

Format

R6Class object.

Value

Object of R6Class with methods for fitting GP model.

Super class

GauPro::GauPro_trend -> GauPro_trend_c

Public fields

m

Trend parameters

m_lower

m lower bound

m_upper

m upper bound

m_est

Should m be estimated?

Methods

Public methods

• trend_c$new()

• trend_c$Z()

• trend_c$dZ_dparams()

• trend_c$dZ_dx()

• trend_c$param_optim_start()

• trend_c$param_optim_start0()

• trend_c$param_optim_lower()

• trend_c$param_optim_upper()

• trend_c$set_params_from_optim()

• trend_c$clone()

Method new()

Initialize trend object

Usage

trend_c$new(m = 0, m_lower = -Inf, m_upper = Inf, m_est = TRUE, D = NA)

Arguments

m

trend initial parameters

m_lower

trend lower bounds

m_upper

trend upper bounds

m_est

Logical of whether each param should be estimated

D

Number of input dimensions of data

Method Z()

Get trend value for given matrix X

Usage

trend_c$Z(X, m = self$m, params = NULL)

Arguments

X

matrix of points

m

trend parameters

params

trend parameters

Method dZ_dparams()

Derivative of trend with respect to trend parameters

Usage

trend_c$dZ_dparams(X, m = self$m, params = NULL)

Arguments

X

matrix of points

m

trend values

params

overrides m

Method dZ_dx()

Derivative of trend with respect to X

Usage

trend_c$dZ_dx(X, m = self$m, params = NULL)

Arguments

X

matrix of points

m

trend values

params

overrides m

Method param_optim_start()

Get parameter initial point for optimization

Usage

trend_c$param_optim_start(jitter = F, m_est = self$m_est)

Arguments

jitter

Not used

m_est

If the trend should be estimate.

Method param_optim_start0()

Get parameter initial point for optimization

Usage

trend_c$param_optim_start0(jitter = F, m_est = self$m_est)

Arguments

jitter

Not used

m_est

If the trend should be estimate.

Method param_optim_lower()

Get parameter lower bounds for optimization

Usage

trend_c$param_optim_lower(m_est = self$m_est)

Arguments

m_est

If the trend should be estimate.

Method param_optim_upper()

Get parameter upper bounds for optimization

Usage

trend_c$param_optim_upper(m_est = self$m_est)

Arguments

m_est

If the trend should be estimate.

Method set_params_from_optim()

Set parameters after optimization

Usage

trend_c$set_params_from_optim(optim_out)

Arguments

optim_out

Output from optim

Method clone()

The objects of this class are cloneable with this method.

Usage

trend_c$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

t1 <- trend_c$new()