bsw-class: S4 Class '"bsw"'
In BSW: Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil (BSW) Algorithm
Description
S4 Class "bsw"
Slots
callAn object of class "call".
formulaAn object of class "formula".
coefficientsA numeric vector containing the estimated model parameters.
iterA positive integer indicating the number of iterations.
convergedA logical constant that indicates whether the model has converged.
yA numeric vector containing the dependent variable of the model.
xThe model matrix.
dataA data frame containing the variables in the model.
Author(s)
Adam Bekhit, Jakob Schöpe
BSW documentation built on March 22, 2021, 5:07 p.m.
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Description
S4 Class "bsw"
Slots
callAn object of class
"call".formulaAn object of class
"formula".coefficientsA numeric vector containing the estimated model parameters.
iterA positive integer indicating the number of iterations.
convergedA logical constant that indicates whether the model has converged.
yA numeric vector containing the dependent variable of the model.
xThe model matrix.
dataA data frame containing the variables in the model.
Author(s)
Adam Bekhit, Jakob Schöpe
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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