• STABLE

  • Referenced in 79 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...
  • fastDNAml

  • Referenced in 70 articles [sw06651]
  • fastDNAml is a program for estimating maximum likelihood phylogenetic trees from nucleotide sequences. Much...
  • MLwiN

  • Referenced in 62 articles [sw04837]
  • fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC...
  • Latent GOLD

  • Referenced in 57 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 44 articles [sw04532]
  • right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models...
  • Stan

  • Referenced in 37 articles [sw10200]
  • MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded...
  • copula

  • Referenced in 37 articles [sw07944]
  • display. Fitting copula-based models with maximum likelihood method is provided as template examples. With...
  • logcondens

  • Referenced in 36 articles [sw11215]
  • this package allows to compute the maximum likelihood estimator (MLE) of a density as well...
  • VGAM

  • Referenced in 35 articles [sw04490]
  • fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits...
  • dlm

  • Referenced in 18 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...
  • PAUP*

  • Referenced in 28 articles [sw07834]
  • field. With the inclusion of maximum likelihood and distance methods in PAUP...
  • bnlearn

  • Referenced in 24 articles [sw08265]
  • well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries...
  • LogConcDEAD

  • Referenced in 20 articles [sw08080]
  • Arbitrary Dimensions. Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number...
  • GLLAMM

  • Referenced in 20 articles [sw06517]
  • Linear Latent And Mixed Models) by maximum likelihood (see help gllamm after installation). gllamm maximises...
  • AS 253

  • Referenced in 19 articles [sw14087]
  • Maximum likelihood estimation of the RC(M) association model. This paper describes a Fortran...
  • N-way Toolbox

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

  • Referenced in 16 articles [sw08188]
  • value random fields; conditional simulation; kriging; maximum likelihood estimation...
  • vsn

  • Referenced in 16 articles [sw06105]
  • uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray...