simulate_values_from_product_kernel: Simulate values from (conditional) kernel.

In reichlab/kcde: Kernel conditional density estimation with flexible kernel specifications

Description

Simulate values from (conditional) kernel.

Usage

simulate_values_from_product_kernel(n, conditioning_obs, center,
  kernel_components, theta)

Arguments

theta	a list with one component for each component of the kernel function. This component is a named list with arguments to the corresponding kernel function.
train_obs	a data frame with lagged observation vectors computed from the training data
prediction_obs	a data frame with the lagged observation vector computed from the prediction data. It is assumed that prediction_lagged_obs contains only one row.
kcde_control	a list of kcde_control parameters for kcde
log	boolean; if TRUE (default), return kernel values on the log scale

reichlab/kcde documentation built on May 27, 2019, 4:53 a.m.