Compute likelihood for LTSG model

Compute likelihood for LTSG model

Compute likelihood for LTSG model

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.

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.

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