Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/plot.missingHE.R

Produces a plot of the observed and imputed values (with credible intervals) for the effect and cost outcomes from a
Bayesian cost-effectiveness analysis model with two treatment arms, implemented using the function `selection`

, `pattern`

or `hurdle`

.
The graphical layout is obtained from the functions contained in the package **ggplot2** and **ggthemes**.

1 2 3 4 5 6 7 8 9 |

`x` |
A |

`prob` |
A numeric vector of probabilities representing the upper and lower CI sample quantiles to be calculated and returned for the imputed values. |

`class` |
Type of the plot comparing the observed and imputed outcome data. Available choices are 'histogram' and 'scatter' for a histogram or a scatter plot of the observed and imputed outcome data, respectively. |

`outcome` |
The outcome variables that should be displayed. Options are: 'all' (default) which shows the plots for both treatment arms and types of outcome variables; 'effects' and 'costs' which show the plots for the corresponding outcome variables in both arms; 'arm1' and 'arm2' which show the plots by the selected treatment arm. To select the plots for a specific outcome in a specific treatment arm the options that can be used are 'effects_arm1', 'effects_arm2', 'costs_arm1' or 'costs_arm2'. |

`theme` |
Type of ggplot theme among some pre-defined themes, mostly taken from the package |

`...` |
Additional parameters that can be provided to manage the output of |

The funciton produces a plot of the observed and imputed effect and cost data in a two-arm based
cost-effectiveness model implemented using the function `selection`

, `pattern`

or `hurdle`

. The purpose of this graph
is to visually compare the outcome values for the fully-observed individuals with those imputed by the model for the missing individuals.
For the scatter plot, imputed values are also associated with the credible intervals specified in the argument `prob`

.
The argument `theme`

allows to customise the graphical aspect of the plots generated by `plot.missingHE`

and
allows to choose among a set of possible pre-defined themes taken form the package **ggtheme**. For a complete list of the available character names
for each theme and scheme set, see **ggthemes** and **bayesplot**.

A `ggplot`

object containing the plots specified in the argument `class`

.

Andrea Gabrio

Daniels, MJ. Hogan, JW. (2008) *Missing Data in Longitudinal Studies: strategies for Bayesian modelling and sensitivity analysis*, CRC/Chapman Hall.

Molenberghs, G. Fitzmaurice, G. Kenward, MG. Tsiatis, A. Verbeke, G. (2015) *Handbook of Missing Data Methodology*, CRC/Chapman Hall.

`selection`

`pattern`

`hurdle`

`diagnostic`

1 2 3 | ```
#For examples see the function selection, pattern or hurdle
#
#
``` |

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