myregrinv
Resolve a calibration problem (inverse regression problem) that is: to estimate mean value and confidence interval of x since y. This function computes a least-square linear regression using the supplied calibration points and then computes the X values for a supplied y observed vector. This routine uses MYREGR function. If it is not present on the computer, myregrinv will try to download it from FEX References: Sokal R.R. and Rohlf F.J. 2003 BIOMETRY. The Principles and Practice of Statistics in Biological Research (3rd ed., 8th printing, Freeman and Company, New York, XIX + 887 p.) pag. 491 - 493.
SEE also myregr, myregrcomp
Created by Giuseppe Cardillo
giuseppe.cardillo-edta@poste.it
To cite this file, this would be an appropriate format: Cardillo G. (2007) MyRegressionINV: resolve a calibration problem that is: to estimate mean value and confidence interval of x since y. http://www.mathworks.com/matlabcentral/fileexchange/15952
Citar como
Giuseppe Cardillo (2024). myregrinv (https://github.com/dnafinder/myregrinv), GitHub. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Linear Regression >
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Inspirado por: MyRegression
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Versión | Publicado | Notas de la versión | |
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2.0.0.0 | inputparser; github link; retrieve dependencies from fileexchange |
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1.5.0.0 | little changes in LOD and LOQ display |
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1.4.0.0 | Now Ycalibrator and Yobserved can be matrix of repeated measures |
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1.3.0.0 | This routine use MYREGR function. If it is not present on the computer, MyregrINV will try to download it from FEX. |
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1.2.0.0 | Changes in description |
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1.1.0.0 | Changes in help section |
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1.0.0.0 | minor make-up |