cjoint_plot: Plot a FactorHet object

In FactorHet: Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity

Plot a FactorHet object

Description

Plots the coefficients \beta_k from a fitted FactorHet object for the main effects only. Use AME to calculate average marginal effects. This provides a fast method to examine the impact of a factor.

Usage

cjoint_plot(object, baseline = NA, plot = TRUE)

Arguments

object	An object from FactorHet or FactorHet_mbo.
baseline	A specification of baseline levels of each factor. The default is NA and shows all coefficients. The documentation for AME discusses how a named list could be provided to show the difference between coefficients.
plot	A logical value as to whether the function should print the plot immediately or quietly provide an object containing the plot and data. The default is TRUE.

Value

Returns a named list with the underlying data ("data") and the plot ("plot").

See Also

AME

Examples

# Fit with one group and limited regularization for example only
# Ignore conjoint structure for simplicity
fit <- FactorHet(Chosen_Immigrant ~ Plans + Ed + Country,
  design = immigration, lambda = 1e-2,
  K = 1, group = ~ CaseID, task = ~ contest_no, choice_order = ~ choice_id)
# Plot the raw coefficients
cjoint_plot(fit)

FactorHet documentation built on April 4, 2025, 5:44 a.m.