Description Usage Arguments Details Value Examples See Also

`plot`

method for objects inheriting from class `"choose_uk"`

,
returned from `choose_uk`

1 2 3 4 5 6 | ```
## S3 method for class 'choose_uk'
plot(x, y = c("imts", "theta"), level = 0.95,
interval_type = c("norm", "lik"), conf_scale = c("theta", "log"),
alpha = 0.05, constrain = TRUE, for_abline = list(lty = 2, lwd = 1,
col = 1), digits = 3, uprob = FALSE, leg_pos = if (y == "imts")
"topright" else "topleft", ...)
``` |

`x` |
an object of class |

`y` |
A character scalar indicating what should be plotted on the
vertical axes of the plot: information matrix test statistics (IMTS)
if |

`level` |
A numeric scalar in (0, 1). The confidence level used in
calculating confidence intervals for |

`interval_type` |
A character scalar. The type of confidence interval
to be plotted, if |

`conf_scale` |
A character scalar. If |

`alpha` |
A numeric vector with entries in (0, 1). The size of the test to be performed. |

`constrain` |
A logical scalar. The argument |

`for_abline` |
Only relevant when |

`digits` |
An integer. Used for formatting the value of the threshold
with |

`uprob` |
A logical scalar. Should we plot |

`leg_pos` |
A character scalar. The position of any legend added to
a plot. Only relevant when both the arguments |

`...` |
Additional arguments passed to |

The type of plot produced depends mainly on `y`

.

If `y = "imts"`

then the values of IMTS are plotted against the
thresholds in `x$u`

(or their corresponding approximate sample
quantile levels if `uprob = TRUE`

) for each value of *K*
in `x$k`

. Horizontal lines are added to indicate the critical
values of the IMT for the significance levels in `alpha`

.
We would not reject at the 100`alpha`

% level combinations of
threshold and *K* corresponding to values of the IMTS that fall
below the line.

If `y = "theta"`

then estimates of *θ* are plotted on the
vertical axis. If both `x$u`

and `x$k$`

have length greater
than one then only these estimates are plotted. If either `x$u`

or `x$k`

have length one then approximate 100`level`

%
confidence intervals are added to the plot and the variable,
`x$u`

or `x$k`

that has length greater than one is plotted on
the horizontal axis.

Nothing is returned.

See the examples in `choose_uk`

.

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