
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 101 articles
[sw10200]
 MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded...

fastDNAml
 Referenced in 91 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 ... rightcensored 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 LogConcave 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 logconcave (maximum likelihood) estimator for i.i.d. data in any number...

dlm
 Referenced in 26 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 34 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 maximumlikelihood estimator for the stochastic model of microarray...

RStan
 Referenced in 23 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 21 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 maximumlikelihood estimation in the logistic regression with both...

MIXOR
 Referenced in 16 articles
[sw08990]
 ordinal regression analysis. MIXOR provides maximum marginal likelihood estimates for mixedeffects 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 timerelated ... population of individuals. MIXOR uses marginal maximum likelihood estimation, utilizing a Fisherscoring 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...