make_trend: Create a trend specification for model parameters

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Create a trend specification for model parameters

Description

Create a trend specification for model parameters

Usage

make_trend(
  par_names,
  cov_names = NULL,
  kernels,
  bases = NULL,
  shared = NULL,
  trend_pnames = NULL,
  phase = "premap",
  par_input = NULL,
  at = NULL,
  custom_trend = NULL
)

Arguments

par_names	Character vector specifying which parameters to apply trend to
cov_names	Character vector specifying which covariates to use for each trend
kernels	Character vector specifying which kernel function to use for each trend
bases	Optional character vector specifying which base function to use for each trend
shared	Named list with entries the parameter names to be shared and the names the new names of the shared parameter.
trend_pnames	Optional character vector specifying custom parameter names
phase	Character vector (length 1 or length(par_names)) specifying the phase for each trend entry; one of "premap", "pretransform", or "posttransform". Defaults to "premap".
par_input	Optional character vector(s) of parameter names to use as additional inputs for the trend
at	If NULL (default), trend is applied everywhere. If a factor name (e.g., "lR"), trend is applied only to entries corresponding to the first level of that factor.
custom_trend	A trend registered with register_trend

Value

A list containing the trend specifications for each parameter

Examples

# Put trend on B and v parameters
trend <- make_trend(
  par_names = c("B", "v"),
  cov_names = "strial",
  kernels = c("exp_incr", "poly3"),
  phase = "premap",
  shared = list(shrd = list("B.B0", "v.d1"))
)
get_trend_pnames(trend)

EMC2 documentation built on Dec. 2, 2025, 9:06 a.m.