Module stats

Statistics-related utilities.

Structs

• Normal
  The normal distribution, N(mean, std_dev**2).
• NormalCol
  The normal distribution, N(mean, std_dev**2) for 0 <= i < nrows.
• NormalMat
  The normal distribution, N(mean, std_dev**2) for 0 <= i < nrows, 0 <= j < ncols.
• NormalRow
  The normal distribution, N(mean, std_dev**2) for 0 <= j < ncols.
• StandardCol
  The standard distribution. Samples uniformly distributed values for 0 <= i < nrows.
• StandardMat
  The standard distribution. Samples uniformly distributed values for 0 <= i < nrows, 0 <= j < ncols.
• StandardNormalCol
  The standard normal distribution, N(0, 1) for 0 <= i < nrows.
• StandardNormalMat
  The standard normal distribution, N(0, 1) for 0 <= i < nrows, 0 <= j < ncols.
• StandardNormalRow
  The standard normal distribution, N(0, 1) for 0 <= j < ncols.
• StandardRow
  The standard distribution. Samples uniformly distributed values for 0 <= j < ncols.
• UnitaryMat
  Uniformly samples a unitary matrix from the unitary group, in the sense of the Haar measure.

Enums

• NanHandling
  Specifies how missing values should be handled in mean and variance computations.

Functions

• col_mean
  Computes the mean of the columns of mat and stores the result in out.
• col_varm
  Computes the variance of the columns of mat given their mean, and stores the result in out.
• row_mean
  Computes the mean of the rows of mat and stores the result in out.
• row_varm
  Computes the variance of the rows of mat given their mean, and stores the result in out.