• CMA-ES

  • Referenced in 100 articles [sw05063]
  • Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivative-free methods for numerical ... multivariate normal distribution in the mathbb{R}^n. Pairwise dependencies between the variables in this ... covariance matrix. The covariance matrix adaptation (CMA) is a method to update the covariance matrix...
  • decon

  • Referenced in 16 articles [sw11088]
  • nonparametric measurement error problems using deconvolution kernel methods. We focus two measurement error models ... regression model with errors-in-variables. The R functions allow the measurement errors ... deconvolution estimators computationally more efficient in R, we adapt the ”Fast Fourier Transform” (FFT) algorithm ... data to the deconvolution kernel estimation. Several methods for the selection of the data-driven...
  • ashr

  • Referenced in 1 article [sw33933]
  • R package ashr: Methods for Adaptive Shrinkage, using Empirical Bayes. The R package ’ashr’ implements ... discovery rate (FDR) estimation based on the methods proposed in M. Stephens, 2016, ”False discovery...
  • funHDDC

  • Referenced in 15 articles [sw11130]
  • R package funHDDC: Model-based clustering in group-specific functional subspaces: Model-based clustering ... clustering functional data which adapts the clustering method high dimensional data clustering (HDDC), originally proposed...
  • ordinal

  • Referenced in 18 articles [sw12561]
  • R package ordinal: Regression Models for Ordinal Data. Implementation of cumulative link (mixed) models also ... fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms ... thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint...
  • qLearn

  • Referenced in 16 articles [sw11117]
  • optimal dynamic regime. We propose an adaptive choice of m and show that it produces ... method has the advantage of being conceptually and computationally much simple than competing methods possessing ... proposed method with currently available inference procedures. The results suggest that the proposed method delivers ... than alternatives. The proposed methods are implemented in the qLearn R-package and have been...
  • EbayesThresh

  • Referenced in 13 articles [sw11103]
  • R package EbayesThresh: Empirical Bayes Thresholding and Related Methods. This package carries out Empirical Bayes ... thresholding using the methods developed by I. M. Johnstone and B. W. Silverman. The basic ... maximum likelihood approach. This leads to an adaptive thresholding approach on the original data. Extensions...
  • ibr

  • Referenced in 7 articles [sw11227]
  • knowledge, no other adaptive fully nonparametric regression estimator is available without constrained assumption such ... method reduces the out of sample prediction error by 20%. An R package ibr, available...
  • deGradInfer

  • Referenced in 8 articles [sw25417]
  • R package deGradInfer: Parameter Inference for Systems of Differential Equation. Efficient Bayesian parameter inference ... differential equations. The inference is based on adaptive gradient matching (AGM, Dondelinger ... magnitude improvements in computational efficiency over standard methods that require solving the differential equation system ... flexible specification of custom ODE systems as R functions, support for missing variables, Bayesian inference...
  • AQUARS

  • Referenced in 11 articles [sw07570]
  • compare them with alternative global optimization methods on an 8-dimensional watershed model calibration problem ... alternatives include EGO, GLOBALm, MLMSRBF [{it R. G. Regis} and {it C. A. Shoemaker}, INFORMS ... CGRBF-Restart [{it R. G. Regis} and {it C. A. Shoemaker}, J. Glob. Optim ... adaptive direct search (MADS) combined with kriging. The results show that the AQUARS methods generally...
  • BSSasymp

  • Referenced in 7 articles [sw16157]
  • R package BSSasymp: Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates. Functions ... source separation (BSS) methods: symmetric and squared symmetric FastICA, regular and adaptive deflation-based FastICA...
  • AdapEnetClass

  • Referenced in 1 article [sw16165]
  • R package AdapEnetClass: A Class of Adaptive Elastic Net Methods for Censored Data. Provides...
  • BGX

  • Referenced in 14 articles [sw06935]
  • Affymetrix GeneChips. BGX is a new Bioconductor R package that implements an integrated Bayesian approach ... where available. The package employs a novel adaptive Markov chain Monte Carlo (MCMC) algorithm that ... expression level as well as statistically based methods for estimating the amount...
  • Kader

  • Referenced in 2 articles [sw23643]
  • Kader - An R Package for Nonparametric Kernel Adjusted Density Estimation and Regression. In a series ... coauthors introduced a fully data-adaptive nonparametric kernel method for pointwise univariate density estimation ... version of this adaptive method was also provided and the pointwise method was extended ... approach. Here, an R package is presented that implements (so far) parts of those methods...
  • BASS

  • Referenced in 2 articles [sw26271]
  • R package BASS: Bayesian Adaptive Spline Surfaces. Bayesian fitting and sensitivity analysis methods for adaptive...
  • SemiMarkov

  • Referenced in 4 articles [sw22606]
  • R package SemiMarkov: Multi-States Semi-Markov Models. Functions for fitting multi-state semi-Markov ... data. A parametric maximum likelihood estimation method adapted to deal with Exponential, Weibull and Exponentiated...
  • catIrt

  • Referenced in 3 articles [sw16234]
  • package catIrt: An R Package for Simulating IRT-Based Computerized Adaptive Tests. Functions designed ... those models with various item selection methods, ability estimation methods, and termination criteria...
  • blasso

  • Referenced in 11 articles [sw06769]
  • elastic net regression models that allows for adaptive, data-based shrinkage of the regression coefficients ... achieved using Markov chain Monte Carlo (MCMC) methods. Uncertainty about model specification is addressed from ... MCMC methods described in this article, written in C++ with an R package interface...
  • DBKGrad

  • Referenced in 5 articles [sw14541]
  • DBKGrad: An R Package for Mortality Rates Graduation by Fixed and Adaptive Discrete Beta Kernel ... that the use of a variable or adaptive smoothing parameter, based on the further information ... little attention has been given to providing methods in available software for any kind ... facilitate analyses in the field, the R package DBKGrad is introduced. Among the available kernel...
  • yaImpute

  • Referenced in 6 articles [sw07226]
  • R package yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools. Performs nearest neighbor-based imputation ... include methods based on canonical correlation analysis, canonical correspondence analysis, and a multivariate adaptation...