regression_bf2: Function: wrapper function for bayesglm() which outputs...
In acweisha/gFPCAClassif: Classification of Binary Functional Data
Description
Usage
Arguments
Value
Description
Function: wrapper function for bayesglm() which outputs expected coefficients for the gaussian responses
Usage
1
regression_bf2(z, dta, lm_structure, eigen_vals1)
Arguments
z
index the n individual
dta
: data frame contain the subject id, mean function, eigenfunctions and observe binary values
lm_structure
formula displaying the bayesglm function
eigen_vals1
eigen_values for the psi coefficients
Value
Fitted values from the game function for subject z
acweisha/gFPCAClassif documentation built on Dec. 18, 2021, 10:23 p.m.
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Description Usage Arguments Value
Description
Function: wrapper function for bayesglm() which outputs expected coefficients for the gaussian responses
Usage
1 | regression_bf2(z, dta, lm_structure, eigen_vals1)
|
Arguments
z |
index the n individual |
dta |
: data frame contain the subject id, mean function, eigenfunctions and observe binary values |
lm_structure |
formula displaying the bayesglm function |
eigen_vals1 |
eigen_values for the psi coefficients |
Value
Fitted values from the game function for subject z
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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