Trend R6 class
Trend R6 class
Object of R6Class with methods for fitting GP model.
R6Class object.
GauPro::GauPro_trend -> GauPro_trend_0
mTrend parameters
m_lowerm lower bound
m_upperm upper bound
m_estShould m be estimated?
new()Initialize trend object
trend_0$new(m = 0, m_lower = 0, m_upper = 0, m_est = FALSE, D = NA)
mtrend initial parameters
m_lowertrend lower bounds
m_uppertrend upper bounds
m_estLogical of whether each param should be estimated
DNumber of input dimensions of data
Z()Get trend value for given matrix X
trend_0$Z(X, m = self$m, params = NULL)
Xmatrix of points
mtrend parameters
paramstrend parameters
dZ_dparams()Derivative of trend with respect to trend parameters
trend_0$dZ_dparams(X, m = m$est, params = NULL)
Xmatrix of points
mtrend values
paramsoverrides m
dZ_dx()Derivative of trend with respect to X
trend_0$dZ_dx(X, m = self$m, params = NULL)
Xmatrix of points
mtrend values
paramsoverrides m
param_optim_start()Get parameter initial point for optimization
trend_0$param_optim_start(jitter, trend_est)
jitterNot used
trend_estIf the trend should be estimate.
param_optim_start0()Get parameter initial point for optimization
trend_0$param_optim_start0(jitter, trend_est)
jitterNot used
trend_estIf the trend should be estimate.
param_optim_lower()Get parameter lower bounds for optimization
trend_0$param_optim_lower(jitter, trend_est)
jitterNot used
trend_estIf the trend should be estimate.
param_optim_upper()Get parameter upper bounds for optimization
trend_0$param_optim_upper(jitter, trend_est)
jitterNot used
trend_estIf the trend should be estimate.
set_params_from_optim()Set parameters after optimization
trend_0$set_params_from_optim(optim_out)
optim_outOutput from optim
clone()The objects of this class are cloneable with this method.
trend_0$clone(deep = FALSE)
deepWhether to make a deep clone.
# NOT RUN {
t1 <- trend_0$new()
# }
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