# 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)
})
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