iRegression: Regression Methods for Interval-Valued Variables

Contains some important regression methods for interval-valued variables. For each method, it is available the fitted values, residuals and some goodness-of-fit measures.

AuthorEufrasio de A. Lima Neto / Claudio A. V. de Souza Filho / Pedro R. D. Marinho
Date of publication2016-07-18 20:09:24
MaintainerEufrasio de A. Lima Neto <eufrasio@de.ufpb.br>
LicenseGPL (>= 2)
Version1.2.1

View on CRAN

Man pages

bivar: Bivariate Symbolic Regression Method

Cardiological.CR: Cardiological Interval Data Set (Centre and Range)

Cardiological.MinMax: Cardiological Interval Data Set

ccrm: Constrained Centre and Range Method

cm: Centre Method

coef.bivar: Extract the Coefficients for the Bivariate Symbolic...

coef.ccrm: Extract the Coefficients for the Constrained Centre and Range...

coef.crm: Extract the Coefficients for the Centre and Range Method

coef.MinMax: Extract Coefficients for the MinMax Method

crm: Centre and Range Method

fitted.bivar: Extract Bivariate Symbolic Regression Method Fitted Values

fitted.ccrm: Extract Constrained Centre and Range Method Fitted Values

fitted.cm: Extract Centre Method Fitted Values

fitted.crm: Extract Centre and Range Method Fitted Values

fitted.MinMax: Extract MinMax Method Fitted Values

iRegression-package: Regression Methods for Interval-Valued Variables

MinMax: MinMax Method

print-iRegression: Print Values for various iRegression methods

residuals.bivar: Extract Bivariate Symbolic Regression Method Residuals

residuals.ccrm: Extract Constrained Centre and Range Method Residuals

residuals.cm: Extract Centre Method Residuals

residuals.crm: Extract Centre and Range Method Residuals

residuals.MinMax: Extract MinMax Method Residuals

soccer.bivar: Soccer Interval Data Set

summary.bivar: Summarizing Bivariate Symbolic Regression Method Fits

summary.ccrm: Summarizing Constrained Centre and Range Method Fits

summary.cm: Summarizing Centre Method Fits

summary.crm: Summarizing Centre and Range Method Fits

summary.MinMax: Summarizing MinMax Method Fits

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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