trend_0: Trend R6 class

In GauPro: Gaussian Process Fitting

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_0

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_0$new()

• trend_0$Z()

• trend_0$dZ_dparams()

• trend_0$dZ_dx()

• trend_0$param_optim_start()

• trend_0$param_optim_start0()

• trend_0$param_optim_lower()

• trend_0$param_optim_upper()

• trend_0$set_params_from_optim()

• trend_0$clone()

---

Method new()

Initialize trend object

Usage

trend_0$new(m = 0, m_lower = 0, m_upper = 0, m_est = FALSE, 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_0$Z(X, m = self$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_0$dZ_dparams(X, m = m$est, 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_0$dZ_dx(X, m = self$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_0$param_optim_start(jitter, trend_est)

Arguments

jitter

Not used

trend_est

If the trend should be estimate.

---

Method param_optim_start0()

Get parameter initial point for optimization

Usage

trend_0$param_optim_start0(jitter, trend_est)

Arguments

jitter

Not used

trend_est

If the trend should be estimate.

---

Method param_optim_lower()

Get parameter lower bounds for optimization

Usage

trend_0$param_optim_lower(jitter, trend_est)

Arguments

jitter

Not used

trend_est

If the trend should be estimate.

---

Method param_optim_upper()

Get parameter upper bounds for optimization

Usage

trend_0$param_optim_upper(jitter, trend_est)

Arguments

jitter

Not used

trend_est

If the trend should be estimate.

---

Method set_params_from_optim()

Set parameters after optimization

Usage

trend_0$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_0$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

t1 <- trend_0$new()

GauPro documentation built on Aug. 26, 2025, 9:08 a.m.