ctPostPredPlots: Create diagnostic plots to assess the goodness-of-fit for a...
In ctsem: Continuous Time Structural Equation Modelling
ctPostPredPlots R Documentation
Create diagnostic plots to assess the goodness-of-fit for a ctsem model.
Description
This function generates a set of diagnostic plots to assess the goodness-of-fit for
a fitted ctsem model.
Usage
ctPostPredPlots(fit)
Arguments
fit
A fitted ctsem model.
Details
The function calculates various statistics and creates visualizations to evaluate
how well the generated data matches the original data used to fit the model. The plots
included are as follows:
- A scatter plot comparing observed values and the median of generated data.
- A plot showing the proportion of observed data outside the 95
- A density plot of the proportion of observed data greater than the generated data.
- A time series plot of the proportion of observed data greater than generated data.
See Also
Other ctsem functions for model fitting and analysis.
Examples
ctPostPredPlots(ctstantestfit)
ctsem documentation built on Nov. 2, 2023, 6:03 p.m.
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| ctPostPredPlots | R Documentation |
Create diagnostic plots to assess the goodness-of-fit for a ctsem model.
Description
This function generates a set of diagnostic plots to assess the goodness-of-fit for a fitted ctsem model.
Usage
ctPostPredPlots(fit)
Arguments
fit |
A fitted ctsem model. |
Details
The function calculates various statistics and creates visualizations to evaluate how well the generated data matches the original data used to fit the model. The plots included are as follows: - A scatter plot comparing observed values and the median of generated data. - A plot showing the proportion of observed data outside the 95 - A density plot of the proportion of observed data greater than the generated data. - A time series plot of the proportion of observed data greater than generated data.
See Also
Other ctsem functions for model fitting and analysis.
Examples
ctPostPredPlots(ctstantestfit)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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