• LAPACK

  • Referenced in 1490 articles [sw00503]
  • least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems ... matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related ... reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled...
  • geepack

  • Referenced in 33 articles [sw07119]
  • package geepack: Generalized Estimating Equation Package. Generalized estimating equations solver for parameters in mean, scale...
  • ScaLAPACK

  • Referenced in 375 articles [sw00830]
  • band, and tridiagonal linear systems of equations, condition estimation and iterative refinement ... rank linear least squares problems, orthogonal and generalized orthogonal factorizations, orthogonal transformation routines, reductions...
  • gee

  • Referenced in 7 articles [sw07996]
  • package gee: Generalized Estimation Equation solver. Generalized Estimation Equation solver...
  • SuperLU

  • Referenced in 137 articles [sw00930]
  • general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations ... also provided to equilibrate the system, estimate the condition number, calculate the relative backward error...
  • GEEQBOX

  • Referenced in 5 articles [sw08101]
  • GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares. The GEEQBOX toolbox ... correlated data via the method of generalized estimating equations (GEE) and quasi-least squares...
  • aod

  • Referenced in 5 articles [sw14700]
  • more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models...
  • semml

  • Referenced in 13 articles [sw27809]
  • simultaneous equations models, which are a direct generalization of the maximum likelihood estimator ... estimators are obtained as solutions of a generalized likelihood equation. They are resistant to deviations ... construction of an optimal robust estimator which is the best trade-off between efficiency...
  • RICPAC

  • Referenced in 53 articles [sw15253]
  • Riccati equations by means of deflating subspaces for certain associated Hamiltonian or symplectic generalized eigenvalue ... generalized eigenvalue problem are available to improve condition and accuracy. Condition estimates for the solution ... calculated. An iterative improvement calculation via Sylvester equations is available and can be used...
  • repolr

  • Referenced in 5 articles [sw07133]
  • using a modified version of the generalized estimating equation (GEE) method for model fitting ... algorithm developed estimates the correlation parameter, by minimizing the generalized variance of the regression parameters...
  • SuperLU-DIST

  • Referenced in 69 articles [sw00002]
  • general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations ... also provided to equilibrate the system, estimate the condition number, calculate the relative backward error...
  • aftgee

  • Referenced in 2 articles [sw14643]
  • aftgee: Accelerated Failure Time Model with Generalized Estimating Equations. This package features both rank-based ... estimation, it provides approaches that include the computationally efficient Gehan’s weight and the general ... estimating equation is solved with Generalized Estimating Equations (GEE). Moreover, in multivariate cases, the dependence...
  • xtmultcorr

  • Referenced in 2 articles [sw06485]
  • correlated data in the framework of generalized estimating equations via xtmultcorr procedures in Stata ... approach in the framework of generalized estimating equations. It then describes and demonstrates implementation...
  • QLS

  • Referenced in 2 articles [sw25339]
  • correlation parameter in the framework of generalized estimating equations (GEE). QLS overcomes some limitations...
  • multgee

  • Referenced in 1 article [sw21072]
  • Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses. The R package multgee implements ... local odds ratios generalized estimating equations (GEE) approach proposed by Touloumis...
  • aods3

  • Referenced in 1 article [sw25119]
  • more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models...
  • yags

  • Referenced in 1 article [sw26002]
  • yags is a modular solver for generalized estimating equations...
  • UOBYQA

  • Referenced in 52 articles [sw07576]
  • quadratic approximation A new algorithm for general unconstrained optimization calculations is described. It takes account ... with the Lagrange functions of the interpolation equations explicitly; therefore their coefficients are updated when ... model and also they provide an estimate of the error of the quadratic approximation...
  • STEPCEE

  • Referenced in 1 article [sw25018]
  • data. Using regression methods based on generalized estimating equations originally proposed by Liang and Zeger ... test for model adequacy based on generalized scores. The methodology and the accompanying computer macro...
  • GEE2Counts

  • Referenced in 1 article [sw25340]
  • Modeling Correlated Counts using Second-order Generalized Estimating Equations. This macro extends second-order...