Generalized L-Moments Estimation for Extreme Value Distributions R package GLmom version 1.3.1 Provides generalized L-moments estimation methods for the generalized extreme value ('GEV') distribution. Implements both stationary 'GEV' and non-stationary 'GEV11' models where location and scale parameters vary with time. Includes various penalty functions ('Martins'-'Stedinger', Park, Cannon, 'Coles'-Dixon) for shape parameter regularization. Also provides model averaging estimation ('ma.gev') that combines MLE and L-moment methods with multiple weighting schemes for robust high quantile estimation. The 'GLME' methodology is described in Shin et al. (2025a) <doi:10.48550/arXiv.2512.20385>. The non-stationary L-moment method is based on Shin et al. (2025b) <doi:10.1007/s42952-025-00325-3>. The model averaging method is described in Shin et al. (2026) <doi:10.1007/s00477-025-03167-x>. See also 'Hosking' (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x> for L-moments theory and 'Martins' and 'Stedinger' (2000) <doi:10.1029/1999WR900330> for penalized likelihood methods. Software Depends: R (>= 3.5.0) Imports: lmomco, nleqslv, stats, methods, robustbase, ismev, Rsolnp, zoo, graphics Yonggwan Shin <syg.stat@etri.re.kr> Comprehensive R Archive Network (CRAN) Yonggwan Shin [aut, cre] (ORCID: <https://orcid.org/0000-0001-6966-6511>), Seokkap Ko [aut, ctb] (ORCID: <https://orcid.org/0000-0001-9218-7236>), Jihong Park [ctb] (ORCID: <https://orcid.org/0009-0003-3191-9968>), Yire Shin [aut, dtc] (ORCID: <https://orcid.org/0000-0003-1297-5430>), Jeong-Soo Park [aut, ths] (ORCID: <https://orcid.org/0000-0002-8460-4869>) GPL (>= 3) 2026-02-27 application/tgz https://CRAN.R-project.org/package=GLmom doi:10.32614/CRAN.package.GLmom