gen_preds: Generate matrix of random observations
In OptHoldoutSize: Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score
View source: R/OptHoldoutSize_simulation.R
gen_preds R Documentation
Generate matrix of random observations
Description
Generate matrix of random observations. Observations are unit Gaussian-distributed.
Usage
gen_preds(nobs, npreds, ninters = 0)
Arguments
nobs
Number of observations (samples)
npreds
Number of predictors
ninters
Number of interaction terms, default 0. Up to npreds*(npreds-1)/2
Value
Data frame of observations
Examples
# See examples for model_predict
OptHoldoutSize documentation built on April 12, 2025, 1:34 a.m.
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View source: R/OptHoldoutSize_simulation.R
| gen_preds | R Documentation |
Generate matrix of random observations
Description
Generate matrix of random observations. Observations are unit Gaussian-distributed.
Usage
gen_preds(nobs, npreds, ninters = 0)
Arguments
nobs |
Number of observations (samples) |
npreds |
Number of predictors |
ninters |
Number of interaction terms, default 0. Up to npreds*(npreds-1)/2 |
Value
Data frame of observations
Examples
# See examples for model_predict
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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