Score Matching Estimation by Automatic Differentiation R package scorematchingad version 0.1.6 Hyvärinen's score matching (Hyvärinen, 2005) <https://jmlr.org/papers/v6/hyvarinen05a.html> is a useful estimation technique when the normalising constant for a probability distribution is difficult to compute. This package implements score matching estimators using automatic differentiation in the 'CppAD' library <https://github.com/coin-or/CppAD> and is designed for quickly implementing score matching estimators for new models. Also available is general robustification (Windham, 1995) <https://www.jstor.org/stable/2346159>. Already in the package are estimators for directional distributions (Mardia, Kent and Laha, 2016) <doi:10.48550/arXiv.1604.08470> and the flexible Polynomially-Tilted Pairwise Interaction model for compositional data. The latter estimators perform well when there are zeros in the compositions (Scealy and Wood, 2023) <doi:10.1080/01621459.2021.2016422>, even many zeros (Scealy, Hingee, Kent, and Wood, 2024) <doi:10.1007/s11222-024-10412-w>. A partial interface to CppAD's ADFun objects is also available. Software Depends: R (>= 3.5.0) Imports: RcppEigen (>= 0.3.3.7), MCMCpack, optimx, FixedPoint, Rdpack, Rcpp (>= 1.0.9), methods, stats, utils, rlang (>= 1.1.0) LinkingTo: Rcpp (>= 1.0.9), RcppEigen (>= 0.3.3.7) Suggests: testthat, ks, movMF, cubature, simdd, numDeriv Kassel Liam Hingee <kassel.hingee@anu.edu.au> Comprehensive R Archive Network (CRAN) Kassel Liam Hingee [aut, cre] (ORCID: <https://orcid.org/0000-0001-9894-2407>), Janice Scealy [aut] (ORCID: <https://orcid.org/0000-0002-9718-869X>), Bradley M. Bell [cph] GPL (>= 3) 2025-11-30 application/tgz https://CRAN.R-project.org/package=scorematchingad doi:10.32614/CRAN.package.scorematchingad