• AIS-BN

  • Referenced in 25 articles [sw02223]
  • importance function, and (3) a dynamic weighting function for combining samples from different stages ... general purpose sampling algorithms, likelihood weighting and self-importance sampling. We used in our tests...
  • wle

  • Referenced in 10 articles [sw07112]
  • package wle: Weighted Likelihood Estimation. Approach to the robustness via Weighted Likelihood...
  • QNet

  • Referenced in 11 articles [sw19662]
  • Tree-Puzzle software [3] for generating likelihood quartet weights. Using the quartet data, QNet employs...
  • flexCWM

  • Referenced in 9 articles [sw16972]
  • Weighted Modeling. Allows for maximum likelihood fitting of cluster-weighted models, a class of mixtures...
  • AWS

  • Referenced in 43 articles [sw04034]
  • package aws: Adaptive Weights Smoothing. The package contains R-functions implementing the Propagation-Separation Approach ... Spokoiny (2006), Propagation-Separation Approach for Local Likelihood Estimation, Prob. Theory and Rel. Fields...
  • robustloggamma

  • Referenced in 2 articles [sw15464]
  • provided using Quantile Tau estimator, Weighted Likelihood estimator and Truncated Maximum Likelihood estimator. Functions...
  • cmm

  • Referenced in 5 articles [sw24365]
  • Quite extensive package for maximum likelihood estimation and weighted least squares estimation of categorical marginal...
  • ForestFit

  • Referenced in 1 article [sw31035]
  • moment, percentile, rank correlation, least square, weighted maximum likelihood, U-statistic, weighted least square ... three-parameter case are: maximum likelihood, modified moment type 1, modified moment type 2, modified ... product spacing, T-L moment, and weighted maximum likelihood. III) The Bayesian estimators...
  • robustBLME

  • Referenced in 1 article [sw32126]
  • linear mixed effects models through weighted likelihood equations and approximate Bayesian computation as proposed...
  • twophase

  • Referenced in 1 article [sw24408]
  • this task. sas-twophase-package implements weighted likelihood, pseudo likelihood and semiparametric maximum likelihood estimation...
  • TagProp

  • Referenced in 13 articles [sw11682]
  • model to exploit labeled training images. Neighbor weights are based on neighbor rank or distance ... metric learning by directly maximizing the log-likelihood of the tag predictions in the training ... word specific sigmoidal modulation of the weighted neighbor tag predictions to boost the recall...
  • multipleNCC

  • Referenced in 1 article [sw14690]
  • proportional hazard models with a weighted partial likelihood. It handles one or multiple endpoints, additional...
  • Spatial Statistics

  • Referenced in 6 articles [sw06026]
  • sparse spatial weight matrices and finding the log-determinants (needed for maximum likelihood). Hence...
  • MAMSE

  • Referenced in 0 articles [sw18460]
  • weights can be used in a weighted likelihood or to define a mixture of empirical ... package includes functions for the MAMSE weighted Kaplan-Meier estimate and for MAMSE weighted...
  • RAxML-Light

  • Referenced in 2 articles [sw29595]
  • supercomputers under maximum likelihood. It implements a light-weight checkpointing mechanism, deploys 128-bit (SSE3 ... level message passing interface parallelization of the likelihood function. To demonstrate scalability and robustness...
  • IntScore

  • Referenced in 2 articles [sw29322]
  • approach. It enables to weight individual interactions according to the likelihood that they actually take...
  • N-way Toolbox

  • Referenced in 28 articles [sw12996]
  • using expectation maximization); Fitting models with a weighted least squares loss function (including MILES); Predicting ... generalized multiplicative ANOVA, MILES for maximum likelihood fitting, conload for congruence and correlation loadings, eemscat...
  • selectMeta

  • Referenced in 1 article [sw06784]
  • discuss how to estimate a decreasing weight function in the above model and illustrate ... examples. Some basic properties of the log-likelihood function and computation of a $p$-value ... weight function are indicated. In addition, we provide an approximate selection bias adjusted profile likelihood...
  • mipfp

  • Referenced in 1 article [sw17934]
  • proportional fitting (IPFP), maximum likelihood, minimum chi-square and weighted least squares procedures for updating...
  • cgam

  • Referenced in 3 articles [sw15309]
  • likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted...