• PMTK

  • Referenced in 181 articles [sw14689]
  • Bayesian statistics (hence the logo). (Some methods from frequentist statistics, such as cross validation...
  • changepoint

  • Referenced in 40 articles [sw07074]
  • data. Many popular non-parametric and frequentist methods are included. The cpt.mean, cpt.var, cpt.meanvar functions...
  • pomp

  • Referenced in 41 articles [sw10664]
  • data by a variety of frequentist and Bayesian methods. It is also a platform...
  • netmeta

  • Referenced in 8 articles [sw17232]
  • package netmeta. Network Meta-Analysis using Frequentist Methods. A comprehensive set of functions providing frequentist ... methods for network meta-analysis and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, ... Chapter 8 ”Network Meta-Analysis”: - frequentist network meta-analysis following Rücker (2012) <
  • ConfBands

  • Referenced in 31 articles [sw12330]
  • first two methods and compared with Bayesian simultaneous confidence bands from a frequentist perspective ... Bayesian or frequentist properties. Simulations and data analysis support the proposed methods. The R package...
  • Data2Dynamics

  • Referenced in 11 articles [sw25272]
  • estimation algorithms as well as frequentist and Bayesian methods for uncertainty analysis have been implemented...
  • PROC MCMC

  • Referenced in 2 articles [sw12072]
  • different from traditional statistical methods such as frequentist or classical methods. For a short introduction...
  • BDgraph

  • Referenced in 12 articles [sw14815]
  • high-dimensional graphs. We show our method outperforms alternative Bayesian approaches in terms of convergence ... graph space and computing time. Unlike frequentist approaches, it gives a principled and, in practice ... learning. We illustrate the efficiency of the method on a broad range of simulated data...
  • MSBVAR

  • Referenced in 3 articles [sw04504]
  • Bayesian, Vector Autoregression Models , Provides methods for estimating frequentist and Bayesian Vector Autoregression (VAR) models ... structural VAR models are also available. Includes methods for the generating posterior inferences for these...
  • MCLLH

  • Referenced in 1 article [sw34702]
  • statistical problems in science. Bayesian and frequentist methods that address these questions often rely...
  • ROCnReg

  • Referenced in 1 article [sw32473]
  • cROC) curve by different methods, both Bayesian and frequentist. Also, it provides functions to obtain...
  • brglm2

  • Referenced in 9 articles [sw19510]
  • methods for bias reduction. The brglmFit fitting method can achieve reduction of estimation bias either ... score equations approach returns estimates with improved frequentist properties, that are also always finite, even ... quasi Fisher scoring algorithm, and S3 methods for the construction of of confidence intervals...
  • intRinsic

  • Referenced in 1 article [sw37515]
  • these two methods carry out inference under both the frequentist and Bayesian frameworks...
  • HRMS

  • Referenced in 3 articles [sw29384]
  • model averaging in big data analytics. Frequentist model averaging has been demonstrated as an efficient ... propose a heteroscedasticity-robust model screening (HRMS) method that constructs a candidate model set through...
  • proportion

  • Referenced in 1 article [sw16705]
  • importance of constructing and evaluating various methods for constructing confidence intervals (CI) for single binomial ... proportion (p). We comprehensively provide procedures in frequentist (approximate with or without adding pseudo counts...
  • GammaCombo

  • Referenced in 0 articles [sw39181]
  • based intervals and frequentist intervals based on pseudoexperiments following the Plugin method to handle nuisance...
  • HIBITS

  • Referenced in 4 articles [sw30626]
  • covariates and past realizations. We develop a frequentist modeling framework that provides efficient inference ... Simulation studies also show that our proposed method is promising and robust. To handle computational...
  • sizeMat

  • Referenced in 0 articles [sw16094]
  • organisms, usually fish and invertebrates. It includes methods for classification based on relative growth (using ... analysis, hierarchical clustering, discriminant analysis), logistic regression (Frequentist or Bayes), parameters estimation and some basic...
  • EuroForMix

  • Referenced in 0 articles [sw20112]
  • package euroformix: euroformix contains procedures for maximization (frequentistic) and integration (Bayesian) of the likelihood function ... carried out using Markov Chain Monte Carlo method. It also contains procedures for deconvolution...
  • Mathematica

  • Referenced in 6090 articles [sw00554]
  • Almost any workflow involves computing results, and that...