Student's t Residuals
Arguments
- x
A non-negative whole numeric vector of values.
- mean
A numeric vector of the means.
- sd
A non-negative numeric vector of the standard deviations.
- theta
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).
- type
A string of the residual type. 'raw' for raw residuals 'dev' for deviance residuals and 'data' for the data.
- simulate
A flag specifying whether to simulate residuals.
See also
Other res_dist:
res_bern(),
res_beta_binom(),
res_binom(),
res_gamma(),
res_gamma_pois(),
res_gamma_pois_zi(),
res_lnorm(),
res_neg_binom(),
res_norm(),
res_pois(),
res_pois_zi(),
res_skewnorm()
Examples
res_student(c(1, 3.5, 4), mean = 6, sd = 0.5, theta = 1 / 3, type = "raw")
#> [1] -5.0 -2.5 -2.0