rqr: RQR for GLMM Computes the randomized quantile residuals for...
In iccCounts: Intraclass Correlation Coefficient for Count Data
View source: R/gof_functions.R
rqr R Documentation
RQR for GLMM
Computes the randomized quantile residuals for GLMM
Description
RQR for GLMM
Computes the randomized quantile residuals for GLMM
Usage
rqr(x)
Arguments
x
An object of clas iccc.
Details
Randomized quantile residuals (RQR) are computed for GLMMM. The within-cluster families considered
are Poisson, Negative Binomial with additive and proportional extra-dispersion and their zero-inflated extensions.
For further details on RQR see Dunn and Smyth (1996) and Feng et al (2020)
Value
A vector with the residuals.
References
Dunn PK, Smyth GK. (1996). Randomized quantile residuals. J Comput Graph Stat.5(3):236–44.
Feng et al. (2020). A comparison of residual diagnosis tools for diagnosing regression models for count data. BMC Medical Research Methodology 20:175
iccCounts documentation built on May 29, 2024, 7:57 a.m.
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View source: R/gof_functions.R
| rqr | R Documentation |
RQR for GLMM Computes the randomized quantile residuals for GLMM
Description
RQR for GLMM Computes the randomized quantile residuals for GLMM
Usage
rqr(x)
Arguments
x |
An object of clas iccc. |
Details
Randomized quantile residuals (RQR) are computed for GLMMM. The within-cluster families considered are Poisson, Negative Binomial with additive and proportional extra-dispersion and their zero-inflated extensions. For further details on RQR see Dunn and Smyth (1996) and Feng et al (2020)
Value
A vector with the residuals.
References
Dunn PK, Smyth GK. (1996). Randomized quantile residuals. J Comput Graph Stat.5(3):236–44.
Feng et al. (2020). A comparison of residual diagnosis tools for diagnosing regression models for count data. BMC Medical Research Methodology 20:175
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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