Student's t Residuals
res_student(x, mean = 0, sd = 1, theta = 0, type = "dev", simulate = FALSE)
A non-negative whole numeric vector of values.
A numeric vector of the means.
A non-negative numeric vector of the standard deviations.
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).
A string of the residual type. 'raw' for raw residuals 'dev' for deviance residuals and 'data' for the data.
A flag specifying whether to simulate residuals.
An numeric vector of the corresponding residuals.
Other res_dist:
res_bern()
,
res_beta_binom()
,
res_binom()
,
res_gamma_pois_zi()
,
res_gamma_pois()
,
res_gamma()
,
res_lnorm()
,
res_neg_binom()
,
res_norm()
,
res_pois_zi()
,
res_pois()
,
res_skewnorm()
res_student(c(1,3.5,4), mean = 6, sd = 0.5, theta = 1/3, type = "raw")
#> [1] -5.0 -2.5 -2.0