trend_0 | R Documentation |
Trend R6 class
Trend R6 class
R6Class
object.
Object of R6Class
with methods for fitting GP model.
GauPro::GauPro_trend
-> GauPro_trend_0
m
Trend parameters
m_lower
m lower bound
m_upper
m upper bound
m_est
Should m be estimated?
new()
Initialize trend object
trend_0$new(m = 0, m_lower = 0, m_upper = 0, m_est = FALSE, D = NA)
m
trend initial parameters
m_lower
trend lower bounds
m_upper
trend upper bounds
m_est
Logical of whether each param should be estimated
D
Number of input dimensions of data
Z()
Get trend value for given matrix X
trend_0$Z(X, m = self$m, params = NULL)
X
matrix of points
m
trend parameters
params
trend parameters
dZ_dparams()
Derivative of trend with respect to trend parameters
trend_0$dZ_dparams(X, m = m$est, params = NULL)
X
matrix of points
m
trend values
params
overrides m
dZ_dx()
Derivative of trend with respect to X
trend_0$dZ_dx(X, m = self$m, params = NULL)
X
matrix of points
m
trend values
params
overrides m
param_optim_start()
Get parameter initial point for optimization
trend_0$param_optim_start(jitter, trend_est)
jitter
Not used
trend_est
If the trend should be estimate.
param_optim_start0()
Get parameter initial point for optimization
trend_0$param_optim_start0(jitter, trend_est)
jitter
Not used
trend_est
If the trend should be estimate.
param_optim_lower()
Get parameter lower bounds for optimization
trend_0$param_optim_lower(jitter, trend_est)
jitter
Not used
trend_est
If the trend should be estimate.
param_optim_upper()
Get parameter upper bounds for optimization
trend_0$param_optim_upper(jitter, trend_est)
jitter
Not used
trend_est
If the trend should be estimate.
set_params_from_optim()
Set parameters after optimization
trend_0$set_params_from_optim(optim_out)
optim_out
Output from optim
clone()
The objects of this class are cloneable with this method.
trend_0$clone(deep = FALSE)
deep
Whether to make a deep clone.
t1 <- trend_0$new()
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