ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |

pm_sampleNorm.F90 File Reference

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## Data Types | |

type | pm_sampleNorm::zscore_type |

This is the derived type whose instances are meant to signify a sample shifting by an amount equal to the negative of the sample mean and scaling the result by an amount equal to the inverse of the sample standard deviation or an equivalent measure. More... | |

interface | pm_sampleNorm::getNormed |

Generate a sample of shape `(nsam)` , or `(ndim, nsam)` or `(nsam, ndim)` that is normalized by the specified input `shift` and `scale` along the specified axis `dim` .More... | |

interface | pm_sampleNorm::setNormed |

Return a sample of shape `(nsam)` , or `(ndim, nsam)` or `(nsam, ndim)` that is normalized by the specified input `shift` and `scale` along the specified axis `dim` .More... | |

## Modules | |

module | pm_sampleNorm |

This module contains classes and procedures for normalizing univariate or multivariate samples by arbitrary amounts along specific directions. | |

## Variables | |

character(*, SK), parameter | pm_sampleNorm::MODULE_NAME = "@pm_sampleNorm" |

type(zscore_type), parameter | pm_sampleNorm::zscore = zscore_type() |