
Stan
 Referenced in 302 articles
[sw10200]
 MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded...

rms
 Referenced in 100 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...

glasso
 Referenced in 510 articles
[sw07432]
 might not be the inverse of the estimated covariance, and occasionally it fails to converge ... dual of the graphical lasso penalized likelihood, by block coordinate ascent; a result which ... this dual, the target of estimation is Σ, the covariance matrix, rather than the precision...

frailtypack
 Referenced in 44 articles
[sw06070]
 Frailty models using a semi_parametric penalized likelihood estimation or a parametric estimation , Frailtypack ... classes of frailty models using a penalized likelihood estimation on the hazard function but also...

RStan
 Referenced in 87 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...

VGAM
 Referenced in 110 articles
[sw04490]
 models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits constrained ordination...

ape
 Referenced in 63 articles
[sw04569]
 using mean path lengths and penalized likelihood. Phylogeny estimation can be done with...

gss
 Referenced in 317 articles
[sw06099]
 estimation with censored life time data and covariates. The unifying themes are the general penalized ... likelihood method and the construction of multivariate models with builtin ANOVA decompositions. Extensive discussions...

rstan
 Referenced in 55 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...

hgam
 Referenced in 73 articles
[sw11201]
 penalized likelihood. Furthermore, we provide oracle results which yield asymptotic optimality of our estimator ... adaptive version of our sparsitysmoothness penalized approach yields large additional performance gains...

msgl
 Referenced in 17 articles
[sw26552]
 lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable for high dimensional multiclass ... computes the sparse group lasso penalized maximum likelihood estimate. Use of parallel computing for cross...

APPLE
 Referenced in 4 articles
[sw13354]
 APPLE: approximate path for penalized likelihood estimators. In highdimensional data analysis, penalized likelihood estimators ... calculating the Approximate Path for Penalized Likelihood Estimators. Both convex penalties (such as LASSO ... computes the solution path for the penalized likelihood estimator using a hybrid of the modified...

regsem
 Referenced in 4 articles
[sw20287]
 goal of incorporating various forms of penalized likelihood estimation in a broad array of structural...

cntclust
 Referenced in 7 articles
[sw40587]
 additionally trimmed. We propose a penalized likelihood approach for estimation and selection of the proportions...

VARD
 Referenced in 2 articles
[sw14221]
 tuning parameters. Typically, in penalized likelihood algorithms, one has to choose values for tuning parameters ... compare VARD to the maximum likelihood estimator ... also to a penalized likelihood estimator [1]. All the algorithms in the demo use separable...

StanHeaders
 Referenced in 4 articles
[sw15586]
 variational methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes...

PHMPL
 Referenced in 3 articles
[sw29636]
 computer program for hazard estimation using a penalized likelihood method with intervalcensored and left ... present paper proposes a program to estimate the hazard function in a proportional hazards model ... function estimator is defined nonparametrically as the function which maximizes a penalized likelihood ... approximate crossvalidation. Confidence bands for the estimator are given. As an illustration...

Gooogle
 Referenced in 3 articles
[sw41324]
 parameters involved in the penalized likelihood are estimated by an efficient group descent algorithm...

glmmAK
 Referenced in 28 articles
[sw13218]
 Mixed Models. This package implements maximumlikelihood estimation in the logistic regression with both binary ... Poisson regression (loglinear model). Secondly, Bayesian estimation based on MCMC in the logistic ... effects whose distribution is specified as a penalized normal mixture are implemented. The methodology...

PROC LOGISTIC
 Referenced in 10 articles
[sw12078]
 nominal response data. The maximum likelihood estimation is carried out with either the Fisher scoring ... perform the biasreducing penalized likelihood optimization as discussed by Firth (1993) and Heinze ... specify starting values for the parameter estimates. The logit link function in the logistic regression...