Beta and Dirichlet Kernel Processes for Binomial and Multinomial Modeling

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Documentation for package ‘BKP’ version 0.1.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

BKP-package	Beta and Dirichlet Kernel Process Modeling
fit.BKP	Fit a Beta Kernel Process (BKP) Model
fit.DKP	Fit a Dirichlet Kernel Process (DKP) Model
get_prior	Construct Prior Parameters for the BKP Model
get_prior_dkp	Construct Prior Parameters for the DKP Model
kernel_matrix	Compute Kernel Matrix Between Input Locations
loss_fun	Loss Function for Fitting the BKP Model
loss_fun_dkp	Loss Function for Fitting the DKP Model
plot	Plot Fitted BKP or DKP Models
plot.BKP	Plot Fitted BKP or DKP Models
plot.DKP	Plot Fitted BKP or DKP Models
predict	Predict Method for BKP or DKP Models
predict.BKP	Predict Method for BKP or DKP Models
predict.DKP	Predict Method for BKP or DKP Models
print	Print Summary of a Fitted BKP or DKP Model
print.BKP	Print Summary of a Fitted BKP or DKP Model
print.DKP	Print Summary of a Fitted BKP or DKP Model
simulate	Simulate from a Fitted BKP or DKP Model
simulate.BKP	Simulate from a Fitted BKP or DKP Model
simulate.DKP	Simulate from a Fitted BKP or DKP Model
summary	Summary of a Fitted BKP or DKP Model
summary.BKP	Summary of a Fitted BKP or DKP Model
summary.DKP	Summary of a Fitted BKP or DKP Model