# Plot diagnostics for a RRglmerMod object

### Description

Five 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 random effects and their conditional variance (95
(4) a plot of conditional pearson residuals against predicted honest response,
and (5) a plot of unconditional pearson residuals against predicted honest response.
By default, plots 1, 3, 4 and 5 are provided.
Reference: Fox, J-P, Klotzke, K. and Veen, D. (2016). *Generalized Linear Mixed Models for Randomized
Responses.* Manuscript submitted for publication.

### Usage

1 2 |

### Arguments

`x` |
an object of class RRglmerMod. |

`which` |
if a subset of the plots is required, specify a subset of the numbers 1:5 (default: 1, 3, 4, 5). |

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

### Examples

1 2 3 4 5 | ```
out <- RRglmer(response ~ Gender + RR + pp + (1+pp|age), link="RRlink.logit", RRmodel=RRmodel,
p1=RRp1, p2=RRp2, data=Plagiarism, na.action = "na.omit",
etastart = rep(0.01, nrow(Plagiarism)),
control = glmerControl(optimizer = "Nelder_Mead", tolPwrss = 1e-03), nAGQ = 1)
plot(out, which = 1:5)
``` |