Compute likelihood for LTSG model

Usage

like_ltsg(mu, env_m, dl_mat, drl_mat, ortho_m, q, r)

Arguments

mu: Numeric vector of means (length equal to number of rows in `env_m`)
env_m: Numeric matrix of environmental data. Must be column-major with time varying fastest: column j corresponds to (location, time) via index j*q + i. This matches the memory layout expected by the underlying C++ implementation.
dl_mat: Diagonal matrix (as NumericMatrix)
drl_mat: Diagonal matrix (as NumericMatrix)
ortho_m: Numeric matrix (orthogonal basis)
q: Integer, number of rows for reshaping
r: Integer, number of columns for reshaping.

Value

A numeric vector of length `r` with computed sums.

Details

This function calculates a likelihood-like measure using orthogonal matrices, environmental data, and diagonal matrices, leveraging parallel computation.

Examples

mu <- c(1, 2)
ortho_m <- matrix(1:4, nrow = 2)
env_m <- matrix(1:4, nrow = 2)
dl_mat <- diag(2)
drl_mat <- diag(2)
like_ltsg(mu, env_m, dl_mat, drl_mat, ortho_m, q = 1, r = 2)
#> [1]   0 416