vectorize_params_log_pdtmvn_mode_centered_kernel: A function to vectorize the parameters of the pdtmvn_kernel...
In reichlab/kcde: Kernel conditional density estimation with flexible kernel specifications
Description
Usage
Arguments
Value
Description
A function to vectorize the parameters of the pdtmvn_kernel and convert
to estimation scale.
Usage
1
vectorize_params_log_pdtmvn_mode_centered_kernel(theta_list, ...)
Arguments
theta_list
parameters for the pdtmvn_kernel in list format
...
mop up other arguments
parameterization
character; currently, only supported value is
"bw-diagonalized-est-eigenvalues"
Value
vector containing parameters that are estimated on a scale
suitable for numerical optimization
reichlab/kcde documentation built on May 27, 2019, 4:53 a.m.
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Description Usage Arguments Value
Description
A function to vectorize the parameters of the pdtmvn_kernel and convert to estimation scale.
Usage
1 | vectorize_params_log_pdtmvn_mode_centered_kernel(theta_list, ...)
|
Arguments
theta_list |
parameters for the pdtmvn_kernel in list format |
... |
mop up other arguments |
parameterization |
character; currently, only supported value is "bw-diagonalized-est-eigenvalues" |
Value
vector containing parameters that are estimated on a scale suitable for numerical optimization
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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