• glmnet

  • Referenced in 482 articles [sw08159]
  • glmnet: Lasso and elastic-net regularized generalized linear models. Extremely efficient procedures for fitting ... lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, poisson ... additions are the multiresponse gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent...
  • SchurRings

  • Referenced in 4 articles [sw11785]
  • representation theory of general linear and symmetric groups. As an application, we implement a heuristic ... product of a combination of general linear and symmetric groups...
  • doBy

  • Referenced in 10 articles [sw09328]
  • doBy: doBy - Groupwise summary statistics, LSmeans, general linear contrasts, various utilities. doBy originally contained facilities ... partitioned ’by’ some variables which define groupings of data - hence the name doBy. doBy contains ... working with grouped data. 2) LSmeans (least-squares means), general linear contrasts. 3) Miscellaneous other...
  • ARC

  • Referenced in 38 articles [sw26078]
  • group it is excellent. With emphasis on exploratory tools it starts with simple linear regression ... regression and goes to logistic regression and generalized linear models. It has discussions of response...
  • ncHilb

  • Referenced in 2 articles [sw27177]
  • invariant under the action of the general linear group. In fact, in this case such...
  • gamsel

  • Referenced in 19 articles [sw19132]
  • Regularization Path for Generalized Additive Models. Using overlap grouped lasso penalties, gamsel selects whether ... term in a gam is nonzero, linear, or a non-linear spline...
  • CDM

  • Referenced in 10 articles [sw15877]
  • multiple group (polytomous) GDINA model, the multiple choice DINA model, the general diagnostic model ... multidimensional linear compensatory item response model and the structured latent class model (SLCA...
  • infinite group relaxation

  • Referenced in 22 articles [sw14600]
  • problem, an infinite-dimensional relaxation of integer linear optimization problems introduced by Ralph Gomory ... 1972a, b). The survey presents the infinite group problem in the modern context ... breakthroughs for the $k$-row problem for general $kge 1$ that extend previous work ... results; among other things, it unveils piecewise linear extreme functions with more than four different...
  • Glmnet

  • Referenced in 9 articles [sw25026]
  • Matlab: Lasso and elastic-net regularized generalized linear models. This is a Matlab port ... entire lasso or elastic-net path for linear regression, logistic and multinomial regression, Poisson regression ... additions are the multiresponse gaussian, and the grouped multinomial...
  • PROC GLM

  • Referenced in 8 articles [sw12073]
  • analyzes data within the framework of general linear models. PROC GLM handles models relating ... variables, which divide the observations into discrete groups, or continuous variables. Thus, the GLM procedure...
  • Hermes2D

  • Referenced in 10 articles [sw06452]
  • problems ranging from ODE and stationary linear PDE to complex time-dependent nonlinear multiphysics ... General Public License (Hermes2D and Hermes3D) and BSD License (Hermes1D). The hp-FEM group...
  • mratios

  • Referenced in 6 articles [sw14522]
  • linear combinations of coefficients in the general linear model. In particular, tests and confidence interval ... interval are provided assuming homogeneous or heterogeneous group variances...
  • SGL

  • Referenced in 1 article [sw23601]
  • lasso and group lasso regularization. Fit a regularized generalized linear model via penalized maximum likelihood...
  • GLMMadaptive

  • Referenced in 1 article [sw34056]
  • Gaussian Quadrature. Fits generalized linear mixed models for a single grouping factor under maximum likelihood...
  • EBglmnet

  • Referenced in 2 articles [sw15564]
  • variable selection and effect estimation via generalized linear regression models, high dimensionality with ... false discovery rate, and power of detecting grouping effects...
  • PerMuVAR

  • Referenced in 2 articles [sw12309]
  • partially) permutation groups that are too big to be treated by general invariant theory software ... following: Computation timepredictability (algorithms based only on linear algebra, no Gröbner basis computations); Reusability ... Efficiency (Use of special properties of permutation groups; use of external specialized libraries for critical...
  • hgm R

  • Referenced in 18 articles [sw08770]
  • gradient method, HGM in short, is a general method to evaluate normalizing constant numerically ... such normalizing constants satisfy holonomic systems of linear partial differential equations. The HGM consists ... systems of linear equations. The HGM was proposed in 2011 by a group of people...
  • femshape

  • Referenced in 2 articles [sw34635]
  • action of some group. In this paper, we study a general representation of shapes ... currents, which are based on linear spaces and are suitable for numerical discretization, being robust...
  • divisors.lib

  • Referenced in 3 articles [sw15680]
  • group structure, the computation of global sections and a test for linear equivalence. Additionally ... algebraic torus actions. They are a natural generalization of the construction of affine toric varieties...