<<<<<<< HEAD Apparent estimates for brier score (MSE) and misclassification rate (OMR). — SupervisedApparentAccuracy • stratifiedSSLApparent estimates for brier score (MSE) and misclassification rate (OMR). — SupervisedApparentAccuracy • stratifiedSSL

Apparent estimates for brier score (MSE) and misclassification rate (OMR).

Apparent estimates for brier score (MSE) and misclassification rate (OMR).

<<<<<<< HEAD 
SupervisedApparentAccuracy(
  X_labeled,
  y,
  beta_SL,
  samp_prob,
  resamp_weight = NULL,
  threshold = 0.5
)
=======

Usage

SupervisedApparentAccuracy(
  X_labeled,
  y,
  beta_SL,
  samp_prob,
  resamp_weight = NULL,
  threshold = 0.5
)
>>>>>>> e32a060aec520f495c0371cd7ee97e715754fa71

Arguments

X_labeled

Covariate matrix for labeled data set.

y

Numeric outcome vector.

beta_SL

Numeric vector of regression coefficients.

samp_prob

Numeric vector of weights.

resamp_weight

Numeric vector of resampling weights.

threshold

Threshold for overall misclassification rate.

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Value

Supervised MSE and OMR.

=======

Value

Supervised MSE and OMR.

>>>>>>> e32a060aec520f495c0371cd7ee97e715754fa71