Description Usage Arguments Examples

Six plots (selectable by `which`

) are currently available: (1) a plot of estimated population prevalence per RR model,
(2) a plot of estimated population prevalence per protection level,
(3) a plot of ungrouped residuals against predicted honest response,
(4) a plot of grouped (on covariates) residuals against predicted honest response,
(5) a plot of grouped Hosmer-Lemeshow residuals against predicted response,
and (6) a Normal Q-Q plot of grouped (on covariates) residuals. By default, plots 1, 3, 4 and 6 are provided.
Reference: Fox, J-P, Klotzke, K. and Veen, D. (2016). *Generalized Linear Mixed Models for Randomized
Responses.* Manuscript submitted for publication.

1 2 3 |

`x` |
an object of class RRglm. |

`which` |
if a subset of the plots is required, specify a subset of the numbers 1:6 (default: 1, 3, 4, 6). |

`type` |
the type of residuals which should be used to be used for plots 3, 4 and 6. The alternatives are: "deviance" (default) and "pearson". |

`ngroups` |
the number of groups to compute the Hosmer-Lemeshow residuals for (default: 10). |

`...` |
further arguments passed to or from other methods. |

1 2 3 | ```
out <- RRglm(response ~ Gender + RR + pp + age, link="RRlink.logit", RRmodel=RRmodel,
p1=RRp1, p2=RRp2, data=Plagiarism, etastart=rep(0.01, nrow(Plagiarism)))
plot(out, which = 1:6, type = "deviance", ngroups = 50)
``` |

GLMMRR documentation built on May 30, 2017, 3:31 a.m.

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