
STABLE
 Referenced in 76 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...

MLwiN
 Referenced in 57 articles
[sw04837]
 fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC...

fastDNAml
 Referenced in 55 articles
[sw06651]
 fastDNAml is a program for estimating maximum likelihood phylogenetic trees from nucleotide sequences. Much...

Latent GOLD
 Referenced in 52 articles
[sw11673]
 1974a, 1974b) who also developed the maximum likelihood algorithm that serves as the basis...

AS 154
 Referenced in 49 articles
[sw14113]
 algorithm for exact maximum likelihood estimation of autoregressive moving average models by means of Kalman...

rms
 Referenced in 32 articles
[sw04532]
 rightcensored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models...

copula
 Referenced in 29 articles
[sw07944]
 display. Fitting copulabased models with maximum likelihood method is provided as template examples. With...

logcondens
 Referenced in 29 articles
[sw11215]
 this package allows to compute the maximum likelihood estimator (MLE) of a density as well...

VGAM
 Referenced in 28 articles
[sw04490]
 fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits...

PAUP*
 Referenced in 27 articles
[sw07834]
 field. With the inclusion of maximum likelihood and distance methods in PAUP...

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

AS 253
 Referenced in 18 articles
[sw14087]
 Maximum likelihood estimation of the RC(M) association model. This paper describes a Fortran...

dlm
 Referenced in 11 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...

GLLAMM
 Referenced in 18 articles
[sw06517]
 Linear Latent And Mixed Models) by maximum likelihood (see help gllamm after installation). gllamm maximises...

MIXOR
 Referenced in 14 articles
[sw08990]
 effects ordinal regression analysis. MIXOR provides maximum marginal likelihood estimates for mixedeffects ordinal probit ... population of individuals. MIXOR uses marginal maximum likelihood estimation, utilizing a Fisherscoring solution...

nlr
 Referenced in 9 articles
[sw05244]
 Algorithm 717: Subroutines for maximum likelihood and quasilikelihood estimation parameters in nonlinear regression models ... nonlinear models, e.g., nonlinear least squares, maximum likelihood, maximum quasilikelihood, generalized nonlinear least squares...

LogConcDEAD
 Referenced in 15 articles
[sw08080]
 Arbitrary Dimensions. Computes a logconcave (maximum likelihood) estimator for i.i.d. data in any number...

vsn
 Referenced in 15 articles
[sw06105]
 uses a robust variant of the maximumlikelihood estimator for the stochastic model of microarray...

bnlearn
 Referenced in 15 articles
[sw08265]
 well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries...

Stan
 Referenced in 14 articles
[sw10200]
 MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded...