Package: fmrilss Type: Package Title: Least Squares Separate (LSS) Analysis for fMRI Data Version: 0.2.0 Authors@R: person(given = "Brad", family = "Buchsbaum", role = c("aut", "cre"), email = "brad.buchsbaum@gmail.com", comment = c(ORCID = "0000-0002-1108-4866")) Description: Implements efficient least squares separate (LSS) analysis for functional magnetic resonance imaging (fMRI) data, following Mumford et al. (2012) . LSS estimates trial-by-trial activation patterns in event-related designs. The package provides reference R implementations, optimized C++ backends, prewhitening, and methods for voxel-specific haemodynamic response functions, including a fast implementation of GLMsingle (Prince et al., 2022) . License: GPL-3 Copyright: The vendored GLMsingle HRF library and ported GLMsingle and fracridge algorithms are by their authors; see inst/COPYRIGHTS. Encoding: UTF-8 Depends: R (>= 4.0.0) Imports: MASS, Rcpp (>= 0.12.0), fmrihrf (>= 0.3.0), fmriAR (>= 0.3.3), bigmemory, ggplot2, glmnet LinkingTo: Rcpp, RcppArmadillo, roptim, bigmemory, BH Suggests: spelling, testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, progress, fmridesign, jsonlite, Matrix, albersdown (>= 2.1.0), ragg, systemfonts Additional_repositories: https://bbuchsbaum.r-universe.dev VignetteBuilder: knitr Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Config/testthat/edition: 3 URL: https://bbuchsbaum.github.io/fmrilss/, https://github.com/bbuchsbaum/fmrilss BugReports: https://github.com/bbuchsbaum/fmrilss/issues Language: en-US Config/Needs/website: albersdown Repository: https://bbuchsbaum.r-universe.dev Date/Publication: 2026-10-10 20:38:15 UTC RemoteUrl: https://github.com/bbuchsbaum/fmrilss RemoteRef: HEAD RemoteSha: 188d0dd9085bd1d5acdddf7bffd87920f132a9f6 NeedsCompilation: yes Packaged: 2026-10-10 22:49:04 UTC; root Author: Brad Buchsbaum [aut, cre] (ORCID: ) Maintainer: Brad Buchsbaum