• HdBCS

  • Referenced in 78 articles [sw29884]
  • HdBCS - High-dimensional Bayesian Covariance Selection. This site provides C++ code software implementing...
  • gss

  • Referenced in 284 articles [sw06099]
  • estimation with censored life time data and covariates. The unifying themes are the general penalized ... devoted to model construction, smoothing parameter selection, computation, and asymptotic convergence. Most of the computational...
  • CHOMPACK

  • Referenced in 13 articles [sw04593]
  • algorithms in the paper Covariance selection for non-chordal graphs via chordal embedding...
  • tRNAscan-SE

  • Referenced in 16 articles [sw08005]
  • then analyzed by a highly selective tRNA covariance model. This work represents a practical application...
  • spatstat

  • Referenced in 135 articles [sw04429]
  • Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also ... relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence ... Models may include dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Fitted...
  • CMA-ES

  • Referenced in 114 articles [sw05063]
  • stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivative-free methods ... variation (via mutation and recombination) and selection: in each generation (iteration) new individuals (candidate solutions ... stochastic way, and then some individuals are selected for the next generation based on their ... this distribution are represented by a covariance matrix. The covariance matrix adaptation...
  • gRim

  • Referenced in 3 articles [sw20816]
  • models for multivariate normal data (i.e. covariance selection models) Mixed interaction models...
  • OptiML

  • Referenced in 3 articles [sw05117]
  • interface which solve the sparse inverse covariance selection problem. OptiML is released as open source...
  • pi-MASS

  • Referenced in 17 articles [sw17249]
  • variable selection regression problem, with the SNPs as the covariates in the regression. Characteristic features...
  • CovSel

  • Referenced in 2 articles [sw24111]
  • package CovSel: Model-Free Covariate Selection. Model-free selection of covariates under unconfoundedness for situations...
  • stm

  • Referenced in 8 articles [sw30849]
  • includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed...
  • SemiParSampleSel

  • Referenced in 5 articles [sw24025]
  • interest. Classic sample selection models assume a priori that continuous covariates have a linear ... SemiParSampleSel which implements copula regression spline sample selection models. The proposed implementation ... deal with non-random sample selection, non-linear covariate-response relationships, and non-normal bivariate...
  • crrstep

  • Referenced in 2 articles [sw28754]
  • package crrstep: Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model. Performs forward...
  • DEOD

  • Referenced in 2 articles [sw23965]
  • driver genes based on a partial covariance selection method. DEOD uncovers the dominant effects...
  • multtest

  • Referenced in 22 articles [sw08262]
  • hypotheses with t-statistics, users may also select a potentially faster null distribution which ... multivariate normal with mean zero and variance covariance matrix derived from the vector influence function...
  • qrcmNP

  • Referenced in 1 article [sw35602]
  • penalized approach to covariate selection through quantile regression coefficient models. The coefficients of a quantile ... penalized method that can address the selection of covariates in this particular modelling framework. Unlike ... penalized quantile regression estimators, in which model selection is quantile-specific, our approach permits using...
  • BIONJ

  • Referenced in 30 articles [sw08301]
  • first-order model of the variances and covariances of evolutionary distance estimates. This model ... sequences. At each step it permits the selection, from the class of admissible reductions...
  • AS 105

  • Referenced in 1 article [sw03803]
  • Algorithm AS 105. Fitting a covariance selection model to a matrix...
  • HS_GHS

  • Referenced in 1 article [sw38987]
  • flexible, with multiple linear regression and covariance selection models being special cases. However, its practical ... both the mean vector and the inverse covariance matrix, a problem inherently more complex than...
  • PReMiuM

  • Referenced in 12 articles [sw14746]
  • covariates actively drive the mixture components. This is implemented in the package as variable selection...