Description Usage Arguments Value Author(s) References See Also Examples
This function is used to calculate the estimates of μ(t), β_i(s,t), γ_{ij}(u,v,t) for function-on-function interaction model (see the description in cv.ff.interaction
) based on the output object of cv.ff.interaction
, or step.ff.interaction
.
1 | getcoef.ff.interaction(fit.obj, t.x.coef=NULL, t.y.coef=NULL)
|
fit.obj |
the output object of |
.
t.x.coef |
a list of length p of vectors providing the observation time
points of predictors on which coefficient functions will be
evaluated. If |
t.y.coef |
a vector of observation time points of response
function on which the coefficient functions will be evaluated. If
|
a list providing the given or selected main effects and interactions, together with the corresponding estimated coefficient functions.
intercept |
the vector of estimated μ(t) evaluated at the vector |
main_effects |
the index vector of the input main_effects for |
coef_main |
a list of matrices of the estimated values of the coefficient functions of main effect specified by |
inter_effects |
a matrix of two columns showing the input interactions for |
coef_inter |
a list of three-dimensional arrays of estimated values of the coefficient functions of interaction or quadratic effects specified by |
Xin Qi and Ruiyan Luo
Ruiyan Luo and Xin Qi (2018) Interaction model and model selection for function-on-function regression, Journal of Computational and Graphical Statistics. https://doi.org/10.1080/10618600.2018.1514310
cv.ff.interaction, step.ff.interaction.
1 | #See the examples in cv.ff.interaction() and step.ff.interaction().
|
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