plot,market_fit-method {markets}

Plots the fitted model

Description

Displays a graphical illustration of the passed fitted model object. The function creates a scatter plot of quantity-price pairs for the records corresponding to the given subject and time identifiers. Then, it plots the average fitted demand and supply quantities for the same data subset letting prices vary between the minimum and maximum price points observed in the data subset.

Usage

## S4 method for signature 'market_fit'
plot(x, subject, time, show_scatter = TRUE, ...)

Arguments

x

A model object.

subject

A vector of subject identifiers to be used in the visualization.

time

A vector of time identifiers to be used in the visualization.

show_scatter

Should the price-quantity scatter be plotted? By default TRUE.

...

Additional parameters to be used for styling the figure. Specifically xlab, ylab, and main are currently handled by the function.

Details

If the subject argument is missing, all subjects are used. If the time argument is missing, all time points are used. The scatter plot of the quantity-price data can be suppressed by setting show_scatter = FALSE.

Value

No return value, called for for side effects (visualization).

Examples

# estimate a model using the houses dataset
fit <- diseq_deterministic_adjustment(
  HS | RM | ID | TREND ~
    RM + TREND + W + CSHS + L1RM + L2RM + MONTH |
      RM + TREND + W + L1RM + MA6DSF + MA3DHF + MONTH,
  fair_houses(),
  correlated_shocks = FALSE,
  estimation_options = list(control = list(maxit = 1e+6))
)

# show model's illustration plot
plot(fit)