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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
Go to the source code of this file.
Data Types | |
| type | pm_distPower::distPower_type |
| This is the derived type for signifying distributions that are of type Power as defined in the description of pm_distPower. More... | |
| interface | pm_distPower::getPowerLogPDFNF |
| Generate and return the natural logarithm of the normalization factor of the PDF of the (Truncated) Power distribution for an input parameter set \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPower::getPowerLogPDF |
Generate and return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Power distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distPower::setPowerLogPDF |
Return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Power distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distPower::getPowerLogCDFNF |
| Generate and return the natural logarithm of the normalization factor of the CDF of the (Truncated) Power distribution for an input parameter set \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPower::getPowerLogCDF |
Generate and return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Power distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distPower::setPowerLogCDF |
Return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Power distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\). More... | |
| interface | pm_distPower::getPowerLogQuan |
| Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of (Truncated) Power distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPower::setPowerLogQuan |
| Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of (Truncated) Power distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPower::getPowerLogRand |
| Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Power distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
| interface | pm_distPower::setPowerLogRand |
| Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Power distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\). More... | |
Modules | |
| module | pm_distPower |
| This module contains classes and procedures for computing various statistical quantities related to the (Truncated) Power distribution. | |
Variables | |
| character(*, SK), parameter | pm_distPower::MODULE_NAME = "@pm_distPower" |
1.9.3