
Stan
 Referenced in 286 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 105 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 ... rightcensored 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 81 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 74 articles
[sw08265]
 well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries...

RandomFields
 Referenced in 62 articles
[sw08188]
 value random fields; conditional simulation; kriging; maximum likelihood estimation...

LogConcDEAD
 Referenced in 58 articles
[sw08080]
 Arbitrary Dimensions. Computes a logconcave (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...

AS 154
 Referenced in 52 articles
[sw14113]
 algorithm for exact maximum likelihood estimation of autoregressive moving average models by means of Kalman...

logcondens
 Referenced in 52 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...

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...

VineCopula
 Referenced in 39 articles
[sw08160]
 estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods...

rstan
 Referenced in 41 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...

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

QUIC
 Referenced in 32 articles
[sw11795]
 estimation. The ℓ 1 regularized Gaussian maximum likelihood estimator (MLE) has been shown to have...

MIXOR
 Referenced in 26 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...

latentnet
 Referenced in 20 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...