Comments (2)
I plan to make a wrapper function to combine fitting, plot of lower bound, plot of test error rates and plot of predicted values all in one screen. Perhaps a shiny app of this would be nice too.
from iprobit.
Instead of the original plan, I added option train.samp
, so iprobit
knows to split the data into training and test samples. At each iteration, the fitted values and error rates are calculated, and this is plotted over iterations.
from iprobit.
Related Issues (16)
- Plot of lower bound
- Add hyperparameters to the estimation procedure HOT 1
- Calculate standard errors for `ystar` HOT 1
- Fix unrecognised X variable names when using non-formula method HOT 1
- Nystrom sampling should be done per category HOT 1
- Perform code profiling
- Time units can be wrong in `iplot_lb()`
- Combine `iplot_lb()` and `iplot_error()`
- Plot of fitted probabilities
- Boundary decision plots
- Extend to multiple lambdas HOT 1
- Adjust position of converged lower bound
- Add ability to set starting values
- Add `@import ggplot2`
- Sometimes the probit integrals diverge
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from iprobit.