Description Usage Arguments Value
Evaluate the kernel function given by the log-pdtmvn distribution.
1 2 3 4 | log_pdtmvn_kernel(x, center, bw, bw_continuous, conditional_bw_discrete,
conditional_center_discrete_offset_multiplier, continuous_vars, discrete_vars,
continuous_var_col_inds, discrete_var_col_inds, discrete_var_range_fns, lower,
upper, x_names, log, validate_in_support = TRUE, validate_level = 1L, ...)
|
center |
a real vector, center point for the kernel function |
bw |
bandwidth matrix |
bw_continuous |
the portion of bw corresponding to continuous variables |
conditional_bw_discrete |
the Schur complement of the portion of bw corresponding to discrete variables |
conditional_center_discrete_offset_multiplier |
Sigma_dc Sigma_c^-1. This is used in computing the mean of the underlying multivariate normal distribution for the discrete variables conditioning on the continuous variables. |
continuous_vars |
character vector with names of variables that are to be treated as continuous. May contain entries that do not appear in colnames(x). |
discrete_vars |
character vector with names of variables that are to be treated as discrete. May contain entries that do not appear in colnames(x) |
discrete_var_range_fns |
a list with one entry for each element of discrete_vars. Each entry is a named list of length 2; the element named "a" is a character string with the name of a function that returns a(x) for any real x, and the element named "b" is a character string with the name of a function that returns b(x) for any real x. |
lower |
Vector of lower truncation points |
upper |
Vector of upper truncation points |
log |
logical; if TRUE, return the log of the kernel function value |
... |
mop up extra arguments |
a |
matrix of values at which to evaluate the kernel function, with column names specified. Each row is an observation, each column is an observed variable. |
the value of the kernel function given by the pdtmvn distribution at x.
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