Obtaining the summary of a fitted Langevin movement model

# S3 method for rhabit
summary(object, ...)

Arguments

object	an object of class rhabit, obtained through the function fit_langevin_ud
...	additional parameters to fit the general usage of the summary function

Value

the table corresponding to the test of H0 $beta_i = 0 and the table corresponding to the test H0 = "gamma2 =1"

Examples

data(tracks)
fitted_langevin <- fit_langevin_ud(cbind(x,y) ~ grad_c1, data = tracks)
summary(fitted_langevin)
#> 
#> Formula:
#> cbind(x, y) ~ grad_c1
#> 
#> Coefficients:
#>         Estimate Std. Error  t value      Pr(>|t|)
#> grad_c1 5.417143   0.200195 27.05933 2.096419e-158
#> 
#> 
#> Speed parameter:
#>        Estimate chi value Pr(>|t|)
#> gamma2 10.78828  215754.9        0