summary.evzinb {evinf}

EVZINB summary function

Description

EVZINB summary function

Usage

## S3 method for class 'evzinb'
summary(
  object,
  coef = c("original", "bootstrapped_mean", "bootstrapped_median"),
  standard_error = TRUE,
  p_value = c("bootstrapped", "approx", "both", "none"),
  bootstrapped_props = c("none", "mean", "median"),
  approx_t_value = TRUE,
  symmetric_bootstrap_p = TRUE,
  ...
)

Arguments

object

an EVZINB object with bootstraps

coef

Type of coefficients. Original are the coefficient estimates from the non-bootstrapped version of the model. 'bootstrapped_mean' are the mean coefficients across bootstraps, and 'bootstrapped_median' are the median coefficients across bootstraps

standard_error

Should standard errors be computed?

p_value

What type of p_values should be computed? 'bootstrapped' are bootstrapped p_values through confidence interval inversion. 'approx' are p-values based on the t-value produced by dividing the coefficient with the standard error.

bootstrapped_props

Type of bootstrapped proportions of component proportions to be returned

approx_t_value

Should approximate t-values be returned

symmetric_bootstrap_p

Should bootstrap p-values be computed as symmetric (leaving alpha/2 percent in each tail)? FALSE gives non-symmetric, but narrower, intervals. TRUE corresponds most closely to conventional p-values.

...

Additional arguments passed to the summary function

Value

An EVZINB summary object

Examples

data(genevzinb2)
model <- evzinb(y~x1+x2+x3,data=genevzinb2, n_bootstraps = 10, multicore = TRUE, ncores = 2)
summary(model)