compute_pdtmvn_kernel_bw_params_from_bw_chol_decomp: Compute the parameters bw, bw_continuous,...
In reichlab/kcde: Kernel conditional density estimation with flexible kernel specifications
Description
Usage
Arguments
Value
Description
Compute the parameters bw, bw_continuous, conditional_bw_discrete, and
conditional_center_discrete_offset_multiplier for the pdtmvn_kernel function
from the Cholesky decomposition of the bandwidth matrix.
Usage
1
2
compute_pdtmvn_kernel_bw_params_from_bw_chol_decomp(bw_chol_decomp,
bw_chol_decomp_vec, continuous_var_col_inds, discrete_var_col_inds)
Arguments
bw_chol_decomp
lower triangular matrix giving the Cholesky
decomposition of the bandwidth matrix.
continuous_vars
Vector containing column indices for continuous
variables.
discrete_vars
Vector containing column indices for discrete variables.
Value
Named list with four components: bw, bw_continuous,
conditional_bw_discrete, and conditional_center_discrete_offset_multiplier
reichlab/kcde documentation built on May 27, 2019, 4:53 a.m.
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Description Usage Arguments Value
Description
Compute the parameters bw, bw_continuous, conditional_bw_discrete, and conditional_center_discrete_offset_multiplier for the pdtmvn_kernel function from the Cholesky decomposition of the bandwidth matrix.
Usage
1 2 | compute_pdtmvn_kernel_bw_params_from_bw_chol_decomp(bw_chol_decomp,
bw_chol_decomp_vec, continuous_var_col_inds, discrete_var_col_inds)
|
Arguments
bw_chol_decomp |
lower triangular matrix giving the Cholesky decomposition of the bandwidth matrix. |
continuous_vars |
Vector containing column indices for continuous variables. |
discrete_vars |
Vector containing column indices for discrete variables. |
Value
Named list with four components: bw, bw_continuous, conditional_bw_discrete, and conditional_center_discrete_offset_multiplier
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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