plot.gpt_fit: Plot GPT Model Predictions vs. Empirical Cumulative Densities
In danheck/gpt: Generalized Processing Tree Models
View source: R/plot_gpt_fit_cdf.R
plot.gpt_fit R Documentation
Plot GPT Model Predictions vs. Empirical Cumulative Densities
Description
Plot predicted against empirical cumulative densities, separately for each observed category.
Usage
## S3 method for class 'gpt_fit'
plot(x, y, ks.test = FALSE, dim = 1, ...)
Arguments
x
fitted model of gpt_fit
y
ignored
ks.test
whether to perform Kolmogorov-Smirnov Tests (ks.test)
dim
only for multivariate continuous data: dimension for prediction
...
further arguments passt to plot
danheck/gpt documentation built on Feb. 12, 2024, 6:21 a.m.
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View source: R/plot_gpt_fit_cdf.R
| plot.gpt_fit | R Documentation |
Plot GPT Model Predictions vs. Empirical Cumulative Densities
Description
Plot predicted against empirical cumulative densities, separately for each observed category.
Usage
## S3 method for class 'gpt_fit'
plot(x, y, ks.test = FALSE, dim = 1, ...)
Arguments
x |
fitted model of |
y |
ignored |
ks.test |
whether to perform Kolmogorov-Smirnov Tests (ks.test) |
dim |
only for multivariate continuous data: dimension for prediction |
... |
further arguments passt to |
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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