Apply windowing and weighting to context data for network accumulation
apply_tensor_old.Rd`r lifecycle::badge("deprecated")`
`apply_tensor_old` is a deprecated alias for the tensor-based accumulation function. Use [accumulate()] for the full TMA accumulation pipeline.
Usage
apply_tensor_old(
tensor,
dims,
dims_sender,
dims_receiver,
dims_mode,
context_matrix,
unit_rows,
codes,
times,
ordered = TRUE
)Arguments
- tensor
NumericVector. Flat multi-dimensional context_tensor array.
- dims
IntegerVector. Dimensions of the original context_tensor array.
- dims_sender
Integer vector. 0-based indices of sender dimensions.
- dims_receiver
Integer vector. 0-based indices of receiver dimensions.
- dims_mode
Integer vector. 0-based indices of mode dimensions.
- context_matrix
NumericMatrix. Context lookup matrix (rows = context lines, cols = factors).
- unit_rows
Integer vector. 0-based response-row indices for this unit.
- codes
Numeric matrix. Code matrix (nrow = context lines, ncol = number of codes).
- times
Numeric vector. Timestamp per context row.
- ordered
Logical. TRUE = directed; FALSE = undirected upper-triangle.