predict_inspre: Calculates model predictions given new data, with...
In brielin/inspre: INverse SParse REgression
predict_inspre R Documentation
Calculates model predictions given new data, with cross-validation errors.
Description
This function uses the mean((X - XG - ZB)**2) error formulation.
Usage
predict_inspre(res, .X, .beta, .targets)
Arguments
res
Inspre result. Result of running fit_inspre for a single or
sequence of hyperparameter values.
X
observations x features data matrix. Colnames represent feature
names. Rownames also correspond to feature names indicating an intervention
was applied to that feature in that sample, with "control" indicating
no intervention.
beta
Sequence of floats. Obsevered scale estimates of instrument
effects.
brielin/inspre documentation built on Dec. 3, 2023, 4:55 a.m.
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.
| predict_inspre | R Documentation |
Calculates model predictions given new data, with cross-validation errors.
Description
This function uses the mean((X - XG - ZB)**2) error formulation.
Usage
predict_inspre(res, .X, .beta, .targets)
Arguments
res |
Inspre result. Result of running fit_inspre for a single or sequence of hyperparameter values. |
X |
observations x features data matrix. Colnames represent feature names. Rownames also correspond to feature names indicating an intervention was applied to that feature in that sample, with "control" indicating no intervention. |
beta |
Sequence of floats. Obsevered scale estimates of instrument effects. |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.