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

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

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

<<<<<<< HEAD 
CrossValResids(
  basis_labeled,
  basis_unlabeled,
  X_labeled,
  X_unlabeled,
  y,
  samp_prob,
  num_folds,
  lambda = NULL
)
=======

Usage

CrossValResids(
  basis_labeled,
  basis_unlabeled,
  X_labeled,
  X_unlabeled,
  y,
  samp_prob,
  num_folds,
  lambda = NULL
)
>>>>>>> e32a060aec520f495c0371cd7ee97e715754fa71

Arguments

basis_labeled

Basis matrix for labeled data set.

basis_unlabeled

Basis matrix for unlabeled data set.

X_labeled

Covariate matrix for labeled data set.

X_unlabeled

Covariate matrix for unlabeled data set.

y

Numeric outcome vector.

samp_prob

Numeric vector of weights.

num_folds

Number of folds for cross-validation.

lambda

Regularization parameter for the imputation model.

<<<<<<< HEAD

Value

Cross-validated residuals.

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Value

Cross-validated residuals.

>>>>>>> e32a060aec520f495c0371cd7ee97e715754fa71