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Showing results 1 to 10 of 8.


Function fleish [SimMultiCorrData v0.2.2]
keywords
constants,
title
Fleishman's Third-Order Polynomial Transformation Equations
description
This function contains Fleishman's third-order polynomial transformation equations (10.1007/BF02293811). It is used in find_constants to find the constants c1, c2, and c3 (c0 = -c2) that satisfy the equations given skewness and standardized kurtosis values. It can be used to verify a set of constants satisfy the equations. Note that there exist solutions that yield invalid power method pdfs (see power_norm_corr, pdf_check). This function would not ordinarily be called by the user.
Function poly [SimMultiCorrData v0.2.2]
keywords
constants,
title
Headrick's Fifth-Order Polynomial Transformation Equations
description
This function contains Headrick's fifth-order polynomial transformation equations (2002, 10.1016/S0167-9473(02)00072-5). It is used in find_constants to find the constants c1, c2, c3, c4, and c5 (\(c0 = -c2 - 3 * c4\)) that satisfy the equations given skewness, standardized kurtosis, and standardized fifth and sixth cumulant values. It can be used to verify a set of constants satisfy the equations. Note that there exist solutions that yield invalid power method pdfs (see power_norm_corr, pdf_check). This function would not ordinarily be called by the user.
Function Constants [sos4R v0.4.2]
keywords
constants
title
Constants in sos4R
description
The package sos4R comes with a set of constant character strings and fixed supported features, for example for names of XML elements, XML Namespace prefixes, or supported formats and models.
Function SosBindings [sos4R v0.4.2]
keywords
constants
title
Bindings and Connecition Methods of OGC Sensor Observation Service
description
The SOS comes with three possible methods of transferring data, HTTP GET, HTTP POST and SOAP.
Function ss.cc.constants [SixSigma v0.9-52]
keywords
constants
title
Functions to find out constants of the relative range distribution.
description
These functions compute the constants d2, d3 and c4 to get estimators of the standard deviation to set control limits.
Function pdf_check [SimMultiCorrData v0.2.2]
keywords
constants,
title
Check Polynomial Transformation Constants for Valid Power Method PDF
description
This function determines if a given set of constants, calculated using Fleishman's Third-Order (method = "Fleishman", 10.1007/BF02293811) or Headrick's Fifth-Order (method = "Polynomial", 10.1016/S0167-9473(02)00072-5) Polynomial Transformation, yields a valid pdf. This requires 1) the correlation between the resulting continuous variable and the underlying standard normal variable (see power_norm_corr) is > 0, and 2) the constants satisfy certain constraints (see Headrick & Kowalchuk, 2007, 10.1080/10629360600605065).
Function find_constants [SimMultiCorrData v0.2.2]
keywords
constants,
title
Find Power Method Transformation Constants
description
This function calculates Fleishman's third or Headrick's fifth-order constants necessary to transform a standard normal random variable into a continuous variable with the specified skewness, standardized kurtosis, and standardized fifth and sixth cumulants. It uses multiStart to find solutions to fleish or nleqslv for poly. Multiple starting values are used to ensure the correct solution is found. If not user-specified and method = "Polynomial", the cumulant values are checked to see if they fall in Headrick's Table 1 (2002, p.691-2, 10.1016/S0167-9473(02)00072-5) of common distributions (see Headrick.dist). If so, his solutions are used as starting values. Otherwise, a set of n values randomly generated from uniform distributions is used to determine the power method constants. Each set of constants is checked for a positive correlation with the underlying normal variable (using power_norm_corr) and a valid power method pdf (using pdf_check). If the correlation is <= 0, the signs of c1 and c3 are reversed (for method = "Fleishman"), or c1, c3, and c5 (for method = "Polynomial"). These sign changes have no effect on the cumulants of the resulting distribution. If only invalid pdf constants are found and a vector of sixth cumulant correction values (Six) is provided, each is checked for valid pdf constants. The smallest correction that generates a valid power method pdf is used. If valid pdf constants still can not be found, the original invalid pdf constants (calculated without a sixth cumulant correction) will be provided if they exist. If not, the invalid pdf constants calculated with the sixth cumulant correction will be provided. If no solutions can be found, an error is given and the result is NULL.
Function calc.k [fitDRC v1.1.1]
keywords
Ratio of normalising constants
title
Calculating the ratio of normalising constants of the not necessarily normalised lower and upper probability density functions of a Density Ratio Class.
description
calc.k calculates Kappa which is the ratio of the normalising constants of the lower and upper probability density functions of a Density Ratio Class. It can be interpreted as a measure of the size of a Density Ratio Class. Hence Kappa is the target value that is minimized in the algorithm.