• SmoothHazard

  • Referenced in 4 articles [sw14710]
  • maximization in the parametric approach or penalized likelihood maximization in the semi-parametric approach...
  • regsem

  • Referenced in 4 articles [sw20287]
  • goal of incorporating various forms of penalized likelihood estimation in a broad array of structural...
  • MixMoGenD

  • Referenced in 6 articles [sw08624]
  • competing models are compared using penalized maximum likelihood criteria. Under weak assumptions on the penalty...
  • VARD

  • Referenced in 2 articles [sw14221]
  • tuning parameters. Typically, in penalized likelihood algorithms, one has to choose values for tuning parameters ... also to a penalized likelihood estimator [1]. All the algorithms in the demo use separable...
  • cntclust

  • Referenced in 3 articles [sw40587]
  • additionally trimmed. We propose a penalized likelihood approach for estimation and selection of the proportions...
  • logistf

  • Referenced in 4 articles [sw07107]
  • bias reduced logistic regression approach with penalized profile likelihood based confidence intervals for parameter estimates...
  • StanHeaders

  • Referenced in 4 articles [sw15586]
  • variational methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes...
  • coxphf

  • Referenced in 1 article [sw32658]
  • coxphf: Cox Regression with Firth’s Penalized Likelihood. Implements Firth’s penalized maximum likelihood bias ... likelihood function). The program fits profile penalized likelihood confidence intervals which were proved to outperform...
  • lsl

  • Referenced in 2 articles [sw22965]
  • Learning. Fits structural equation modeling via penalized likelihood...
  • Gooogle

  • Referenced in 2 articles [sw41324]
  • group bridge regularization. The ZIP mixture likelihood with a group-wise (L_1) penalty ... then the parameters involved in the penalized likelihood are estimated by an efficient group descent...
  • lqa

  • Referenced in 1 article [sw06329]
  • Penalized Likelihood Inference for GLMs , This package provides some basic infrastructure and tools ... Generalized Linear Models (GLMs) via penalized likelihood inference. Estimating procedures already implemented...
  • GAMBoost

  • Referenced in 5 articles [sw08168]
  • generalized additive models by likelihood based boosting, using penalized B-splines...
  • penalized

  • Referenced in 1 article [sw23855]
  • efficient MATLAB toolbox for penalized maximum likelihood. penalized allows you to fit a generalized linear ... extended by creating new maximum likelihood models or new penalties. The toolbox also includes routines...
  • spaMM

  • Referenced in 1 article [sw15893]
  • REML, in particular h-likelihood and penalized-likelihood methods...
  • pmlr

  • Referenced in 1 article [sw21117]
  • first-order bias is equivalent to penalizing the likelihood by the Jeffreys prior, and yields ... penalized maximum likelihood estimates (PLEs) that always exist. Hypothesis testing is conducted via likelihood ratio...
  • glmmAK

  • Referenced in 28 articles [sw13218]
  • Linear Mixed Models. This package implements maximum-likelihood estimation in the logistic regression with both ... effects whose distribution is specified as a penalized normal mixture are implemented. The methodology...
  • GroupSortFuse

  • Referenced in 1 article [sw41234]
  • Sort-Fuse (GSF) procedure -- a new penalized likelihood approach for simultaneous estimation of the order ... criteria involving model complexity, our approach directly penalizes a continuous function of the model parameters...
  • ungroup

  • Referenced in 1 article [sw29037]
  • estimation is achieved by maximizing a penalized likelihood. Smooth detailed sequences of counts and rates...
  • PartCensReg

  • Referenced in 1 article [sw38438]
  • linear regression censored model via maximum penalized likelihood through of ECME algorithm. The model belong...
  • HEALER

  • Referenced in 1 article [sw30527]
  • bias-reduction method based on a penalized likelihood to discover rare variants that are associated...