• VGAM

  • Referenced in 110 articles [sw04490]
  • distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits constrained ordination models...
  • CML

  • Referenced in 10 articles [sw26227]
  • GAUSS module CML: Constrained Maximum Likelihood. Constrained Maximum Likelihood (CML), developed at Aptech Systems, generates...
  • DASSOC

  • Referenced in 8 articles [sw27806]
  • cross-classified data, computation of maximum likelihood estimates (MLE’s) is relatively difficult ... based on the scoring algorithm for constrained maximum likelihood are relatively unreliable, and other cyclic...
  • scar

  • Referenced in 20 articles [sw31377]
  • package scar: Shape-Constrained Additive Regression: a Maximum Likelihood Approach. This package computes the maximum...
  • PeakSeg

  • Referenced in 2 articles [sw32352]
  • pattern). We propose PeakSeg, a new constrained maximum likelihood segmentation model for peak detection with...
  • cgam

  • Referenced in 5 articles [sw15309]
  • package cgam: Constrained Generalized Additive Model. A constrained generalized additive model is fitted ... order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using...
  • mirtjml

  • Referenced in 2 articles [sw36870]
  • Dimensional Item Factor Analysis. Provides constrained joint maximum likelihood estimation algorithms for item factor analysis...
  • N-way Toolbox

  • Referenced in 30 articles [sw12996]
  • generalized multiplicative ANOVA, MILES for maximum likelihood fitting, conload for congruence and correlation loadings, eemscat ... data analysis, indafac for PARAFAC, PARALIND for constrained PARAFAC models, jackknifing for PARAFAC...
  • intdag

  • Referenced in 1 article [sw36425]
  • with Interventions. Provides intdag() for a constrained maximum likelihood estimate of a directed acyclic graph...
  • gfpop

  • Referenced in 3 articles [sw32351]
  • gfpop: an R Package for Univariate Graph-Constrained Change-point Detection. In a world with ... penalised maximum likelihood inference of constrained multiple change-point models. This algorithm can be used...
  • Popan

  • Referenced in 3 articles [sw17040]
  • customised log-linear and constrained maximum log-likelihood (MLL) models; as in program Mark...
  • MARSS

  • Referenced in 3 articles [sw23275]
  • MARSS package provides maximum-likelihood parameter estimation for constrained and unconstrained linear multivariate autoregressive state...
  • lbreg

  • Referenced in 1 article [sw42130]
  • lbreg: Log-Binomial Regression with Constrained Optimization. Maximum likelihood estimation of log-binomial regression with...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • However, existing supervised topic models predominantly employ likelihood-driven objective functions for learning and inference ... corpus. In this paper, we propose the maximum entropy discrimination latent Dirichlet allocation (MedLDA) model ... topic models (e.g., LDA) under a unified constrained optimization framework, and yields latent topical representations ... applied for jointly max-margin and maximum likelihood learning of directed or undirected topic models...
  • calibrar

  • Referenced in 1 article [sw21067]
  • supports multiple phases and constrained optimization. It implements maximum likelihood estimation methods and automated construction...
  • MARK

  • Referenced in 25 articles [sw24801]
  • size of closed populations. Parameters can be constrained to be the same across re-encounter ... model parameters are computed via numerical maximum likelihood techniques. The number of parameters that...
  • COMODE

  • Referenced in 3 articles [sw36145]
  • identify PWMs that maximize the likelihood of observed sequence data under a simple multinomial mixture ... simple multinomial mixture model to a constrained multinomial mixture model by incorporating constraints ... this extended model are estimated by maximum likelihood using a nonlinear constraint optimization method. Likelihood...
  • MeddeR

  • Referenced in 1 article [sw27875]
  • Quasi-Concave Density Estimation: Maximum likelihood estimation of a log-concave probability density is formulated ... equivalent dual formulation as a constrained maximum Shannon entropy problem. Closely related maximum Renyi entropy...
  • FastRFS

  • Referenced in 2 articles [sw29617]
  • fast and accurate Robinson-Foulds Supertrees using constrained exact optimization. Motivation: The estimation of phylogenetic ... many biological dataset analyses, but maximum likelihood approaches are NP-hard and Bayesian MCMC methods ... Robinson-Foulds Supertree problem within a constrained search space. FastRFS has excellent accuracy in terms...
  • AprilCal

  • Referenced in 2 articles [sw37886]
  • usually requires an expert intuition to reliably constrain all of the parameters in the camera ... their choosing, after which the maximum-likelihood calibration is computed using all images...