ks

R package ks Kernel Smoothing: Kernel smoothers for univariate and multivariate data, including density functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, significant modal regions and two-sample hypothesis testing.

Keywords for this software

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References in zbMATH (referenced in 48 articles , 1 standard article )

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  1. Matias D. Cattaneo, Michael Jansson, Xinwei Ma: lpdensity: Local Polynomial Density Estimation and Inference (2022) not zbMATH
  2. Badiane, M.; Ngom, P.; Manga, C.: Bayesian selection of local bandwidth in non-homogeneous Poisson process kernel estimators for the intensity function (2021)
  3. Casa, Alessandro; Scrucca, Luca; Menardi, Giovanna: Better than the best? Answers via model ensemble in density-based clustering (2021)
  4. Hudecová, Šárka; Šiman, Miroslav: Testing axial symmetry by means of directional regression quantiles (2021)
  5. Martínez-Camblor, Pablo; Pérez-Fernández, Sonia; Díaz-Coto, Susana: Optimal classification scores based on multivariate marker transformations (2021)
  6. Tristan Mary-Huard, Sarmistha Das, Indranil Mukhopadhyay, Stéphane Robin: Querying multiple sets of p-values through composed hypothesis testing (2021) arXiv
  7. Zhu, Kailun; Kurowicka, Dorota; Nane, Gabriela F.: Simplified R-vine based forward regression (2021)
  8. Arsalane Chouaib Guidoum: Kernel Estimator and Bandwidth Selection for Density and its Derivatives: The kedd Package (2020) arXiv
  9. Arsalane Chouaib Guidoum, Kamal Boukhetala: Performing Parallel Monte Carlo and Moment Equations Methods for Ito and Stratonovich Stochastic Differential Systems: R Package Sim.DiffProc (2020) not zbMATH
  10. Borrajo, M. I.; González-Manteiga, W.; Martínez-Miranda, M. D.: Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates (2020)
  11. Casa, Alessandro; Chacón, José E.; Menardi, Giovanna: Modal clustering asymptotics with applications to bandwidth selection (2020)
  12. Díaz-Coto, Susana; Martínez-Camblor, Pablo; Pérez-Fernández, Sonia: SmoothROCtime: an (\mathsfR) package for time-dependent ROC curve estimation (2020)
  13. Kandanaarachchi, Sevvandi; Muñoz, Mario A.; Hyndman, Rob J.; Smith-Miles, Kate: On normalization and algorithm selection for unsupervised outlier detection (2020)
  14. Liu, Yu; De Brabanter, Kris: Smoothed nonparametric derivative estimation using weighted difference quotients (2020)
  15. Jonas Moss, Martin Tveten: kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels (2019) not zbMATH
  16. Mickaël Binois and Victor Picheny: GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis (2019) not zbMATH
  17. Teter, Michael D.; Royset, Johannes O.; Newman, Alexandra M.: Modeling uncertainty of expert elicitation for use in risk-based optimization (2019)
  18. Wang, Wei; Lin, Nan; Tang, Xiang: Robust two-sample test of high-dimensional mean vectors under dependence (2019)
  19. Wang, Yong; Wang, Xuxu: Classification using semiparametric mixtures (2019)
  20. Schellhase, Christian; Spanhel, Fabian: Estimating non-simplified vine copulas using penalized splines (2018)

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