<<<<<<< HEAD Semi-supervised regression. — SemiSupervisedRegression • stratifiedSSLSemi-supervised regression. — SemiSupervisedRegression • stratifiedSSL

Semi-supervised regression.

Semi-supervised regression.

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SemiSupervisedRegression(
  basis_labeled,
  basis_unlabeled,
  X_labeled,
  X_unlabeled,
  y,
  samp_prob,
  lambda = NULL
)
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Usage

SemiSupervisedRegression(
  basis_labeled,
  basis_unlabeled,
  X_labeled,
  X_unlabeled,
  y,
  samp_prob,
  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.

lambda

Penalization parameter for initial ridge estimator.

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Value

Vector containing regression coefficients.

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Value

Vector containing regression coefficients.

>>>>>>> e32a060aec520f495c0371cd7ee97e715754fa71