Description Usage Arguments Value References Examples
View source: R/test_functions.R
Tests the specification of a linear model using wild-bootstrap.
1 2 3 4 5 6 7 8 9  | dominguez_lobato_test(
  model,
  distribution = "rnorm",
  statistic = "cvm_value",
  times = 300,
  quantiles = c(0.9, 0.95, 0.99),
  verbose = FALSE,
  n_cores = 1
)
 | 
model | 
 An existing fit from a model function such as 'lm', 'lfe' and others compatible with 'update'.  | 
distribution | 
 Type of noise added to residuals, ej 'rnorm' or 'rrademacher'.  | 
statistic | 
 Type of statistic to be used, can be one of 'cvm_value' or 'kmv_value'.  | 
times | 
 Number of bootstrap samples.  | 
quantiles | 
 Vector of quantiles to calculate pvalues.  | 
verbose | 
 TRUE to print each bootstrap iteration.  | 
n_cores | 
 Number of cores to be used.  | 
A list with dataframe results and the ordered values of each bootstrap iteration.
Manuel A. Dominguez and Ignacio N. Lobato (2019). Specification Testing with Estimated Variables. Econometric Reviews.
1 2 3 4 5 6  | x <- 1:10 + rnorm(10)
y <- 1:10
model <- lm(y~x)
dl_test <- dominguez_lobato_test(model)
dl_test <- dominguez_lobato_test(model, distribution = "rmammen_point", statistic = "kmv_value")
dl_test <- dominguez_lobato_test(model, times = 100)
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.