Calculate_IC_Dev: The function computing information criterion values and...
In TensorTest2D: Fitting Second-Order Tensor Data
Calculate_IC_Dev R Documentation
The function computing information criterion values and deviances.
Description
The function computing information criterion values and deviances.
Usage
Calculate_IC_Dev(y, w_seq, df, family)
Arguments
y
A numerical vector. Dependent variable.
w_seq
A numerical vector. Fitted values of the tensor regression model.
df
integer. Degree of freedom.
family
Family of generalized linear model. Provide three options for model.(see more details in
Details)
Value
A list.
IC: The values of Akaike information criterion (AIC) and
Bayesian information criterion (BIC).
DoF: The values of the residual degrees of freedom for the null model and
the residual degrees of freedom.
Dev_res: The deviance values of residuals.
Dev: The deviance values for the null model and the working model.
TensorTest2D documentation built on Sept. 11, 2024, 5:34 p.m.
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| Calculate_IC_Dev | R Documentation |
The function computing information criterion values and deviances.
Description
The function computing information criterion values and deviances.
Usage
Calculate_IC_Dev(y, w_seq, df, family)
Arguments
y |
A numerical vector. Dependent variable. |
w_seq |
A numerical vector. Fitted values of the tensor regression model. |
df |
integer. Degree of freedom. |
family |
Family of generalized linear model. Provide three options for model.(see more details in Details) |
Value
A list.
IC: The values of Akaike information criterion (AIC) and Bayesian information criterion (BIC).
DoF: The values of the residual degrees of freedom for the null model and the residual degrees of freedom.
Dev_res: The deviance values of residuals.
Dev: The deviance values for the null model and the working model.
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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