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res <- ordinal_regression_simplex(
xdata,
ydata,
weights = weights_orig,
lambda2_grid = 0,
method = "gcv",
do_bootstrap = TRUE,
B = 200,
compute_opi = TRUE,
compute_R2 = TRUE,
compute_OCC = TRUE
)## Estimated A_hat
## [,1] [,2] [,3]
## [1,] 0.8814 0.0561 0.0387
## [2,] 0.1186 0.9439 0.0282
## [3,] 0.0000 0.0000 0.9331
## Wasserstein R2
## [1] 0.5296394
## OPI
## [1] 0.8494624
## OCC
## [1] 0.8516129
## Frechet mean matrix
## [,1] [,2] [,3]
## [1,] 0.7713 0.062 0.0387
## [2,] 0.2287 0.938 0.0311
## [3,] 0.0000 0.000 0.9302
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They may not be fully stable and should be used with caution. We make no claims about them.