• STABLE

  • Referenced in 76 articles [sw04843]
  • stable random variates. It also performs maximum likelihood estimation of stable parameters and some exploratory ... work is described in the paper ”Maximum likelihood estimation of stable parameters”, J. P. Nolan...
  • MLwiN

  • Referenced in 57 articles [sw04837]
  • fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC...
  • fastDNAml

  • Referenced in 56 articles [sw06651]
  • fastDNAml is a program for estimating maximum likelihood phylogenetic trees from nucleotide sequences. Much...
  • Latent GOLD

  • Referenced in 54 articles [sw11673]
  • 1974a, 1974b) who also developed the maximum likelihood algorithm that serves as the basis...
  • AS 154

  • Referenced in 50 articles [sw14113]
  • algorithm for exact maximum likelihood estimation of autoregressive- moving average models by means of Kalman...
  • rms

  • Referenced in 33 articles [sw04532]
  • right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models...
  • VGAM

  • Referenced in 30 articles [sw04490]
  • fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits...
  • copula

  • Referenced in 30 articles [sw07944]
  • display. Fitting copula-based models with maximum likelihood method is provided as template examples. With...
  • logcondens

  • Referenced in 29 articles [sw11215]
  • this package allows to compute the maximum likelihood estimator (MLE) of a density as well...
  • PAUP*

  • Referenced in 27 articles [sw07834]
  • field. With the inclusion of maximum likelihood and distance methods in PAUP...
  • Stan

  • Referenced in 24 articles [sw10200]
  • MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded...
  • bnlearn

  • Referenced in 21 articles [sw08265]
  • well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries...
  • GLLAMM

  • Referenced in 19 articles [sw06517]
  • Linear Latent And Mixed Models) by maximum likelihood (see help gllamm after installation). gllamm maximises...
  • N-way Toolbox

  • Referenced in 19 articles [sw12996]
  • generalized multiplicative ANOVA, MILES for maximum likelihood fitting, conload for congruence and correlation loadings, eemscat...
  • AS 253

  • Referenced in 18 articles [sw14087]
  • Maximum likelihood estimation of the RC(M) association model. This paper describes a Fortran...
  • dlm

  • Referenced in 11 articles [sw04503]
  • Likelihood Analysis of Dynamic Linear Models Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis ... linear models with known parameters, and maximum likelihood estimation. It also presents many specific dynamic ... parameters. It presents a discussion of maximum likelihood estimation and a much more elaborated...
  • MIXOR

  • Referenced in 14 articles [sw08990]
  • effects ordinal regression analysis. MIXOR provides maximum marginal likelihood estimates for mixed-effects ordinal probit ... population of individuals. MIXOR uses marginal maximum likelihood estimation, utilizing a Fisher-scoring solution...
  • nlr

  • Referenced in 9 articles [sw05244]
  • Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation parameters in nonlinear regression models ... nonlinear models, e.g., nonlinear least squares, maximum likelihood, maximum quasi-likelihood, generalized nonlinear least squares...
  • LogConcDEAD

  • Referenced in 15 articles [sw08080]
  • Arbitrary Dimensions. Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number...
  • vsn

  • Referenced in 15 articles [sw06105]
  • uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray...