reset_test: Reset test. Tests the specification of a linear model adding...
In FedericoGarza/lineartestr: Linear Specification Testing

Description Usage Arguments Value Examples

Reset test. Tests the specification of a linear model adding and testing powers of fitted values.

reset_test(
  model,
  robust = FALSE,
  vcov = NULL,
  max_power = 3,
  quantiles = c(0.9, 0.95, 0.99)
)

`model`	An existing fit from a model function such as 'lm', 'lfe' and others compatible with 'update'.
`robust`	Use robust 'varcov' matrix.
`vcov`	Particular variance and covariances matrix.
`max_power`	Max power of fitted values to add.
`quantiles`	Vector of quantiles to calculate pvalues.

A 'tibble' with the Wald value, the corresponding pvalue, and the quantiles of the distribution.

x <- 1:10  + rnorm(10)
y <- 1:10
model <- lm(y~x)
r_test <- reset_test(model)
r_test <- reset_test(model, robust = TRUE)
r_test <- reset_test(model, quantiles = c(.97))
r_test <- reset_test(model, max_power = 4)
r_test <- reset_test(model, robust = TRUE, max_power = 4)