diag_predictions: Examine model predictions
In DTWilson/BOSSS: Bayesian Optimisation for Simulation-based Sample Size
diag_predictions R Documentation
Examine model predictions
Description
Examine model predictions
Usage
diag_predictions(problem, solution, type = "response")
Arguments
problem
BOSSS problem.
solution
BOSSS solution.
type
the type of prediction required for binary outcomes. The default
is on the scale of the response variable ("response"); the scale of the linear
predictor ("link") can be used instead.
Value
A list of dataframes, one for each model, giving the empirical
(Monte Carlo) point and interval estimates alongside their predicted point
and interval estimates, flagging when these do not agree.
DTWilson/BOSSS documentation built on April 14, 2025, 8:35 a.m.
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| diag_predictions | R Documentation |
Examine model predictions
Description
Examine model predictions
Usage
diag_predictions(problem, solution, type = "response")
Arguments
problem |
BOSSS problem. |
solution |
BOSSS solution. |
type |
the type of prediction required for binary outcomes. The default is on the scale of the response variable ("response"); the scale of the linear predictor ("link") can be used instead. |
Value
A list of dataframes, one for each model, giving the empirical (Monte Carlo) point and interval estimates alongside their predicted point and interval estimates, flagging when these do not agree.
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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