Zero-Inflated Gamma-Poisson Residuals
Arguments
- x
A non-negative whole numeric vector of values.
- lambda
A non-negative numeric vector of means.
- theta
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).
- prob
A numeric vector of values between 0 and 1 of the probability of zero-inflation.
- 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_lnorm()
,
res_neg_binom()
,
res_norm()
,
res_pois()
,
res_pois_zi()
,
res_skewnorm()
,
res_student()
Examples
res_gamma_pois_zi(c(0, 1, 2), 1, 1, 0.5)
#> [1] -0.7585276 1.1774100 1.3138084