• STABLE

  • Referenced in 94 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...
  • Stan

  • Referenced in 92 articles [sw10200]
  • MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded...
  • fastDNAml

  • Referenced in 88 articles [sw06651]
  • fastDNAml is a program for estimating maximum likelihood phylogenetic trees from nucleotide sequences. Much...
  • MLwiN

  • Referenced in 82 articles [sw04837]
  • fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC...
  • rms

  • Referenced in 70 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...
  • VGAM

  • Referenced in 63 articles [sw04490]
  • fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits...
  • AS 154

  • Referenced in 51 articles [sw14113]
  • algorithm for exact maximum likelihood estimation of autoregressive- moving average models by means of Kalman...
  • logcondens

  • Referenced in 46 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...
  • RandomFields

  • Referenced in 37 articles [sw08188]
  • value random fields; conditional simulation; kriging; maximum likelihood estimation...
  • LogConcDEAD

  • Referenced in 35 articles [sw08080]
  • Arbitrary Dimensions. Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number...
  • dlm

  • Referenced in 25 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...
  • bnlearn

  • Referenced in 33 articles [sw08265]
  • well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries...
  • CDVine

  • Referenced in 26 articles [sw08161]
  • estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods...
  • vsn

  • Referenced in 25 articles [sw06105]
  • uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray...
  • RStan

  • Referenced in 22 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...
  • VineCopula

  • Referenced in 20 articles [sw08160]
  • estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods...
  • glmmAK

  • Referenced in 21 articles [sw13218]
  • Linear Mixed Models. This package implements maximum-likelihood estimation in the logistic regression with both...
  • MIXOR

  • Referenced in 16 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...
  • AS 253

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

  • Referenced in 14 articles [sw08213]
  • package mlegp: Maximum Likelihood Estimates of Gaussian Processes. Maximum likelihood Gaussian process modeling for univariate...