# interplot 0.2.3

## New features

- Adding new statistics for testing the statistical significance of
the conditional effect (by
`stats_cp`

).
- Adding an argument to modify the plot caption (by
`txt_caption`

).

## Bug fix

- Adding example of models based on multiple imputations.
- Modifying the vignette to include new functions.

# interplot 0.2.2

- interplot no longer sets the random seed; to ensure complete
reproducibility, users must now set their own seeds using
`set.seed()`

before calling interplot functions.
- Adds facet_labs argument, an optional character vector of facet
labels to be used when plotting an interaction with a factor
variable.

# interplot 0.2.1

## Function Updates

- Showing the confidence intervals between the conditional effects at
the minimum and maximum values of the conditioning variable.

## Error Fixed

- Avoiding the warning caused by the
`class(m) == "polr"`

.

# interplot 0.2.0

## Adding Argument

- Adding an argument to adjust CIs to control the false discovery
rate.
- Adding an argument to produce conditional predicted probabilities at
given values.

## Vignette Updates

- Adding a brief review of the methodology of interaction.
- Adding an example to show how to control for the false discovery
rate.
- Adding an example to illustrate plotting conditional predicted
propbabilities.

# interplot 0.1.5

## Adding Argument

- Adding an argument to adjust the CIs.

# interplot 0.1.4

## Error Fixed

- Fixing the error in plotting
`lmer`

projects.

# interplot 0.1.3

## Function Updates

- Take the
`steps`

argument back in case of special design
requirement of the plot.
- Fixed an error in presenting the histogram on categorical
conditioning variables.
- Improving the histogram presentation: all the bars for categorical
variables are centered.

## Vignette Updates

Updated the vignette including instructions of how to change the
aesthetics of the plot and how to use histogram function.

# interplot 0.1.2.1

## Vignette Updates

Updated the vignette including instructions of how to change the
aesthetics of the plot and how to use histogram function.

# interplot 0.1.2.0

## Additional Function

- The aesthetics can be modified through built-in arguments or the
ggplot
`geom_`

functions.
- A histogram can be superimposed into the plot.

# interplot 0.1.1.1

## Additional Function

Adding the function to plot interactions based on factor variables.
## Bug fix Fit `ggplot2`

2.0.0 Fixed the quadratic error
(#16)

# interplot 0.1.1.0

## Additional Function

Adding the function to plot interactions based on factor variables.
## Bug fix Fit `ggplot2`

2.0.0

# interplot 0.1.0.2

## Bug fix

Fix the bug for nonlinear multilevel models with multiply imputed
data (gmlmmi).

# interplot 0.1.0.1

## Bug fix

Fix the error to run mlm and mlmmi.