manual_predict_CDI: Performing Manual Cross Validation for Bayesian Logistic...
In PippintheFoolhardy/SimFunctions: CDI Simulator R Functions
Description
Usage
Arguments
Value
Examples
View source: R/Base_Functions.R
Description
Use manual cross-validation with Bayesian logistic regression for difficult to separate classes
Usage
1
manual_predict_CDI(data, folds = 5L, repeats = 5L)
Arguments
data
Table of agent data to use in predictive model
folds
Number of cross-validation folds
repeats
Number of repeats for cross-validation
Value
Model and statistics for accuracy of the model
Examples
1
results <- manual_predict_CDI(data, folds = 5L, repeats = 5L)
PippintheFoolhardy/SimFunctions documentation built on Dec. 18, 2021, 7:43 a.m.
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Description Usage Arguments Value Examples
View source: R/Base_Functions.R
Description
Use manual cross-validation with Bayesian logistic regression for difficult to separate classes
Usage
1 | manual_predict_CDI(data, folds = 5L, repeats = 5L)
|
Arguments
data |
Table of agent data to use in predictive model |
folds |
Number of cross-validation folds |
repeats |
Number of repeats for cross-validation |
Value
Model and statistics for accuracy of the model
Examples
1 | results <- manual_predict_CDI(data, folds = 5L, repeats = 5L)
|
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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