apply_kernel: Apply a kernel implied in an emc object

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Apply a kernel implied in an emc object

Description

This function extracts the appropriate trend, and applies its implied kernel using either the pure R implementation or the Rcpp version. When mode = "compare", the function checks whether the two implementations produce identical output.

Usage

apply_kernel(
  kernel_pars,
  emc,
  subject = 1,
  input_pars = NULL,
  trend_n = 1,
  mode = "Rcpp"
)

Arguments

kernel_pars	A named vector of kernel parameters on the natural scale. Use NULL for kernels that do not require parameters.
emc	An emc.
subject	Subject index for which to apply the kernel. Defaults to 1.
input_pars	Optional parameter matrix containing externally supplied parameter values (e.g., trend parameters). Only needed for custom kernels.
trend_n	Integer specifying which trend to apply when multiple trends exist in the model. Defaults to 1. A warning is issued if the model contains more than one trend.
mode	Character string specifying which implementation to use: "R" Use the pure R implementation. "Rcpp" Use the Rcpp implementation (default).

Details

Applies the trend-specific kernel associated with an emc model to the a subject's data and returns the resulting kernel matrix.

Value

Returns a kernel matrix produced by the corresponding implementation.

EMC2 documentation built on Jan. 12, 2026, 5:07 p.m.