• Stan

  • Referenced in 297 articles [sw10200]
  • MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded...
  • STABLE

  • Referenced in 110 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...
  • VGAM

  • Referenced in 108 articles [sw04490]
  • fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits...
  • MLwiN

  • Referenced in 105 articles [sw04837]
  • fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC...
  • rms

  • Referenced in 96 articles [sw04532]
  • Regression Modeling Strategies , Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced ... right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models...
  • fastDNAml

  • Referenced in 94 articles [sw06651]
  • fastDNAml is a program for estimating maximum likelihood phylogenetic trees from nucleotide sequences. Much...
  • RStan

  • Referenced in 87 articles [sw13990]
  • this package to parse, compile, test, estimate, and analyze Stan models by accessing the header ... variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic...
  • bnlearn

  • Referenced in 77 articles [sw08265]
  • well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries...
  • RandomFields

  • Referenced in 65 articles [sw08188]
  • value random fields; conditional simulation; kriging; maximum likelihood estimation...
  • LogConcDEAD

  • Referenced in 58 articles [sw08080]
  • Arbitrary Dimensions. Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number...
  • CDVine

  • Referenced in 52 articles [sw08161]
  • estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods...
  • rstan

  • Referenced in 54 articles [sw16103]
  • functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing ... variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic...
  • logcondens

  • Referenced in 53 articles [sw11215]
  • logcondens: Estimate a Log-Concave Probability Density from iid Observations. Given independent and identically distributed ... this package allows to compute the maximum likelihood estimator (MLE) of a density as well...
  • AS 154

  • Referenced in 52 articles [sw14113]
  • algorithm for exact maximum likelihood estimation of autoregressive- moving average models by means of Kalman...
  • VineCopula

  • Referenced in 40 articles [sw08160]
  • estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods...
  • dlm

  • Referenced in 30 articles [sw04503]
  • Likelihood Analysis of Dynamic Linear Models. Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis ... state space models, the Kalman filter for estimation and forecasting in dynamic ... 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...
  • QUIC

  • Referenced in 34 articles [sw11795]
  • estimation. The ℓ 1 -regularized Gaussian maximum likelihood estimator (MLE) has been shown to have...
  • Maxlik

  • Referenced in 35 articles [sw08900]
  • Maxlik: a package for maximum likelihood estimation in R. This paper describes the package maxLik...
  • MIXOR

  • Referenced in 26 articles [sw08990]
  • ordinal regression analysis. MIXOR provides maximum marginal likelihood estimates for mixed-effects ordinal probit, logistic ... dependent. The degree of dependency is jointly estimated with the usual model parameters, thus adjusting ... intercepts and slopes across time, and can estimate the degree to which these time-related ... population of individuals. MIXOR uses marginal maximum likelihood estimation, utilizing a Fisher-scoring solution...
  • latentnet

  • Referenced in 21 articles [sw10550]
  • Carlo algorithm. It can also compute maximum likelihood estimates for the latent position model ... stage maximum likelihood method for the latent position cluster model. For latent position cluster models ... clustering). It also estimates which cluster each actor belongs to. These estimates are probabilistic ... estimates for the coefficients and positions: maximum likelihood estimate, posterior mean, posterior mode...