Visualising How Nonlinear Dimension Reduction Warps Your Data R package quollr version 1.0.6 To construct a model in 2-D space from 2-D nonlinear dimension reduction data and then lift it to the high-dimensional space. Additionally, provides tools to visualise the model overlay the data in 2-D and high-dimensional space. Furthermore, provides summaries and diagnostics to evaluate the nonlinear dimension reduction layout. Software Depends: R (>= 4.1.0) Imports: cli, crosstalk, dplyr, ggplot2, grid, htmltools, interp (>= 1.1-6), langevitour, patchwork, plotly, proxy, purrr, Rcpp, rsample, stats, tibble, tidyr, tidyselect LinkingTo: Rcpp, RcppArmadillo Suggests: detourr, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr Jayani P. Gamage <jayanilakshika76@gmail.com> Comprehensive R Archive Network (CRAN) Jayani P. Gamage [aut, cre] (ORCID: <https://orcid.org/0000-0002-6265-6481>), Dianne Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>), Paul Harrison [aut] (ORCID: <https://orcid.org/0000-0002-3980-268X>), Michael Lydeamore [aut] (ORCID: <https://orcid.org/0000-0001-6515-827X>), Thiyanga S. Talagala [aut] (ORCID: <https://orcid.org/0000-0002-0656-9789>) MIT + file LICENSE (https://CRAN.R-project.org/package=quollr/LICENSE) 2025-12-18 application/tgz https://CRAN.R-project.org/package=quollr doi:10.32614/CRAN.package.quollr en-GB