• gbm

  • Referenced in 55 articles [sw07994]
  • multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss...
  • RStan

  • Referenced in 87 articles [sw13990]
  • variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic ... user with the need to derive the partial derivatives...
  • rstan

  • Referenced in 54 articles [sw16103]
  • variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic ... user with the need to derive the partial derivatives...
  • Venture

  • Referenced in 10 articles [sw14670]
  • flow, higher-order probabilistic procedures, partially exchangeable sequences and “likelihood-free” stochastic simulators. It also...
  • ordinal

  • Referenced in 30 articles [sw12561]
  • ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with ... they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed ... methods and slice methods for visualizing the likelihood function and checking convergence...
  • lplb

  • Referenced in 2 articles [sw31428]
  • package lplb: Local partial likelihood bootstrap. ”lplb” is a R package for multivariate covariates-biomarker...
  • HCmodelSets

  • Referenced in 1 article [sw28001]
  • sample size. The software supports linear regression, likelihood-based fitting of generalized linear regression models ... proportional hazards model fitted by partial likelihood...
  • multipleNCC

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

  • Referenced in 1 article [sw14565]
  • multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss...
  • CoxRidge

  • Referenced in 1 article [sw27790]
  • models with penalized ridge-type partial likelihood. The package includes functions for fitting simple...
  • pycox

  • Referenced in 3 articles [sw33183]
  • good approximation for the Cox partial log-likelihood. The proposed methodology is compared to existing...
  • gpcm

  • Referenced in 3 articles [sw25842]
  • find the marginal maximum likelihood estimates of the generalized partial credit model. The currently available...
  • TAM

  • Referenced in 5 articles [sw13950]
  • likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit...
  • BetterReg

  • Referenced in 1 article [sw42298]
  • Logistic Regression. Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and Pseudo...
  • ExaGeoStat

  • Referenced in 6 articles [sw30062]
  • modeling. In contrast to simulation based on partial differential equations derived from first-principles modeling ... evaluation of the Gaussian log-likelihood function, which operates on a large dense covariance matrix...
  • L.U.St

  • Referenced in 1 article [sw29608]
  • approximated maximum likelihood supertree reconstruction. Background: Supertrees combine disparate, partially overlapping trees to generate ... package, a python tool for approximate maximum likelihood supertree inference and illustrate its application using...
  • WBR-2019

  • Referenced in 1 article [sw34589]
  • supporting the paper: Bayesian model discrimination for partially-observed epidemic models. An efficient method ... likelihood using a particle filter that incorporates a novel importance sampling algorithm designed for partially ... biological and epidemiological systems with intractable likelihood functions...
  • PartCensReg

  • Referenced in 1 article [sw38438]
  • parameters of a partially linear regression censored model via maximum penalized likelihood through of ECME...
  • spate

  • Referenced in 6 articles [sw12265]
  • time is defined through a stochastic partial differential equation (SPDE). The SPDE is solved ... main computational difficulty consists in evaluating the likelihood and in sampling from the full conditional...
  • MultiBD

  • Referenced in 0 articles [sw16098]
  • efficient functions to provide direct likelihood-based inference for partially-observed multivariate birth-death processes ... infectious-removed model in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood estimation and Bayesian...