
STABLE
 Referenced in 85 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...

plfit
 Referenced in 98 articles
[sw23186]
 empirical data. Our approach combines maximumlikelihood fitting methods with goodnessoffit tests based...

MLwiN
 Referenced in 78 articles
[sw04837]
 fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC...

fastDNAml
 Referenced in 76 articles
[sw06651]
 fastDNAml is a program for estimating maximum likelihood phylogenetic trees from nucleotide sequences. Much...

rms
 Referenced in 64 articles
[sw04532]
 rightcensored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models...

Latent GOLD
 Referenced in 64 articles
[sw11673]
 1974a, 1974b) who also developed the maximum likelihood algorithm that serves as the basis...

Stan
 Referenced in 56 articles
[sw10200]
 MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded...

AS 154
 Referenced in 51 articles
[sw14113]
 algorithm for exact maximum likelihood estimation of autoregressive moving average models by means of Kalman...

VGAM
 Referenced in 48 articles
[sw04490]
 fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits...

copula
 Referenced in 47 articles
[sw07944]
 display. Fitting copulabased models with maximum likelihood method is provided as template examples. With...

logcondens
 Referenced in 39 articles
[sw11215]
 this package allows to compute the maximum likelihood estimator (MLE) of a density as well...

dlm
 Referenced in 22 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 30 articles
[sw07834]
 field. With the inclusion of maximum likelihood and distance methods in PAUP...

RandomFields
 Referenced in 29 articles
[sw08188]
 value random fields; conditional simulation; kriging; maximum likelihood estimation...

GLLAMM
 Referenced in 26 articles
[sw06517]
 Linear Latent And Mixed Models) by maximum likelihood (see help gllamm after installation). gllamm maximises...

bnlearn
 Referenced in 26 articles
[sw08265]
 well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries...

fields
 Referenced in 24 articles
[sw08187]
 cross validation and also by restricted maximum likelihood. A major feature is that any covariance...

LogConcDEAD
 Referenced in 23 articles
[sw08080]
 Arbitrary Dimensions. Computes a logconcave (maximum likelihood) estimator for i.i.d. data in any number...

ltm
 Referenced in 20 articles
[sw07911]
 Parameter estimates are obtained under marginal maximum likelihood using the GaussHermite quadrature rule...

AS 253
 Referenced in 19 articles
[sw14087]
 Maximum likelihood estimation of the RC(M) association model. This paper describes a Fortran...