libqe: Shared C++ Core for Quantitative Ethnography Packages

Header-only C++ library providing shared computational primitives for rENA, tma, and other Quantitative Ethnography packages. Exposes four modules via Rcpp-wrapped lq_* functions:

Details

Adjacency

Upper-triangle index pairs and vector/matrix conversions. See lq_tri_indices, lq_vector_to_upper_tri, lq_svector_to_upper_tri.

Normalization

Row-wise L2 sphere norm and max-norm scaling. See lq_sphere_norm, lq_skip_sphere_norm.

Modeling

Column centering, ENA correlation, and least-squares node positions (undirected and directed). See lq_center_data, lq_ena_correlation, lq_lws_lsq_positions, lq_directed_node_positions.

Accumulation

Stanza-window (rENA) and ground/response/tensor (tma) accumulation primitives. See lq_stanza_window, lq_accumulate_unit, lq_apply_tensor.

Using libqe headers in your own R package:

Add to DESCRIPTION:

  LinkingTo: Rcpp, RcppArmadillo, libqe

Then in your .cpp source:

  // [[Rcpp::depends(RcppArmadillo, libqe)]]
  #include <RcppArmadillo.h>
  #include <libqe/libqe.hpp>

See also

Useful links:

• https://gitlab.com/epistemic-analytics/qe-packages/libqe

• Report bugs at https://gitlab.com/epistemic-analytics/qe-packages/libqe/-/issues

Author

Maintainer: Cody L Marquart cody.marquart@wisc.edu (ORCID)