# Endogenous data endog_data <- interest_rules_var_data # Specifications for switching variable switching <- endog_data$GDP_gap test_that("Test whether list length is consistent number of endogenous variables for lp_nl model",{ results_nl <- lp_nl(endog_data, lags_endog_lin = 4L, lags_endog_nl = 3L, lags_criterion = NaN, max_lags = NaN, trend = 0L, shock_type = 1L, confint = 1.96, hor = 24L, switching = switching, use_hp = TRUE, lambda = 1600, gamma = 3, num_cores = 1) plots_nl <- plot_nl(results_nl) num_plots_iv <- ncol(endog_data)*ncol(endog_data)*2 expect_equal(length(plots_nl[[1]]) + length(plots_nl[[2]]), num_plots_iv) }) test_that("Test whether list length is consistent number of endogenous variables for lp_nl_iv model",{ # Load and prepare data ag_data <- ag_data sample_start <- 7 sample_end <- dim(ag_data)[1] endog_data <- ag_data[sample_start:sample_end, 3:5] shock <- ag_data[sample_start:sample_end, 7] exog_data <- ag_data[sample_start:sample_end, 6] switching_variable <- ag_data$GDP_MA[sample_start:sample_end] - 0.8 results_nl_iv <- lp_nl_iv(endog_data, lags_endog_nl = 3, shock = shock, exog_data = exog_data, lags_exog = 4, contemp_data = NULL, lags_criterion = NaN, max_lags = NaN, trend = 0, confint = 1.96, hor = 20, switching = switching_variable, use_hp = 0, lambda = NaN, gamma = 3, num_cores = 1) plots_nl_iv <- plot_nl(results_nl_iv) num_plots_iv <- ncol(endog_data)*2 expect_equal(length(plots_nl_iv[[1]]) + length(plots_nl_iv[[2]]), num_plots_iv) })