View source: R/plot.INPROCreg.R

plot.INPROCreg | R Documentation |

Default INPROCreg plotting (see details)

```
## S3 method for class 'INPROCreg'
plot(x, ask = TRUE, ...)
```

`x` |
an object of class |

`ask` |
a logical value. If TRUE, the default, the user is asked for confirmation, before a new figure is drawn. |

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

The function produces the following plots:

- (a)
the estimated regression and variance functions in both the healthy and diseased populations.

- (b)
the covariate-specific ROC curve and AUC.

- (c)
the covariate-adjusted ROC curve (AROC).

- (d)
(optionally) the Youden Index (YI) or the value for which the TPF and the TNF coincides (EQ).

- (e)
(optionally) the optimal thresholds based on these criteria (TH).

Maria Xose Rodriguez-Alvarez and Javier Roca-Pardinas

See Also `INPROCreg`

.

```
data(endosim)
# Evaluate the effect of age on the accuracy of the body mass index for males
m0.men <- INPROCreg(marker = "bmi", covariate = "age", group = "idf_status",
tag.healthy = 0,
data = subset(endosim, gender == "Men"),
ci.fit = FALSE, test = FALSE,
accuracy = c("EQ","TH"),
accuracy.cal="AROC",
control=controlINPROCreg(p=1,kbin=30,step.p=0.01),
newdata = data.frame(age = seq(18,85,l=50)))
summary(m0.men)
plot(m0.men)
```

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