beezdemand (version 0.2.0)

check_demand_model: Check Demand Model Diagnostics

Description

Performs diagnostic checks on fitted demand models, returning information about convergence, boundary conditions, and residual patterns.

Usage

check_demand_model(object, ...)
# S3 method for beezdemand_hurdle
check_demand_model(object, ...)
# S3 method for beezdemand_nlme
check_demand_model(object, ...)
# S3 method for beezdemand_fixed
check_demand_model(object, ...)

Value

An object of class beezdemand_diagnostics containing:

convergence

List with convergence status and messages

boundary

List with boundary condition warnings

residuals

Summary statistics for residuals

random_effects

Summary of random effects (if applicable)

issues

Character vector of identified issues

recommendations

Character vector of recommendations

Arguments

object

A fitted model object of class beezdemand_hurdle, beezdemand_nlme, or beezdemand_fixed.

...

Additional arguments passed to methods.

Details

The function checks for:

• Convergence status and optimization messages

• Parameters at or near boundaries

• Residual patterns (heteroscedasticity, outliers)

• Random effect variance estimates near zero

• Correlation matrices near singularity

See Also

plot_residuals(), plot_qq()

Examples

# \donttest{
data(apt)
fit <- fit_demand_hurdle(apt, y_var = "y", x_var = "x", id_var = "id")
diagnostics <- check_demand_model(fit)
print(diagnostics)
# }