• nlmdl

  • Referenced in 116 articles [sw27811]
  • Nonlinear Statistical Models”. The program computes least squares estimates for a univariate nonlinear regression model ... generalized least squares estimates for a multivariate nonlinear regression model. Use the SUR option ... options can be set to correct variance estimates for heteroskedasticity and/or serial correlation. For simultaneous ... implicit form, it computes three-stage least-squares estimates, TSLS option, and for nonlinear dynamic...
  • LAPACK

  • Referenced in 1626 articles [sw00503]
  • solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue ... reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled...
  • ScaLAPACK

  • Referenced in 404 articles [sw00830]
  • solving systems of linear equations, least squares problems, and eigenvalue problems. The goals of both ... estimation and iterative refinement, for LU and Cholesky factorization, matrix inversion, full-rank linear least ... squares problems, orthogonal and generalized orthogonal factorizations, orthogonal transformation routines, reductions to upper Hessenberg, bidiagonal...
  • mboost

  • Referenced in 60 articles [sw07331]
  • risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners...
  • plfit

  • Referenced in 222 articles [sw23186]
  • data, such as least-squares fitting, can produce substantially inaccurate estimates of parameters for power...
  • VanHuffel

  • Referenced in 213 articles [sw05243]
  • analysis. Total least squares (TLS) is one of the several linear parameter estimation techniques that...
  • DAKOTA

  • Referenced in 64 articles [sw05202]
  • stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design...
  • LSQR

  • Referenced in 358 articles [sw00530]
  • LSQR: Sparse Linear Equations and Least Squares Problems. An iterative method is given for solving ... Reliable stopping criteria are derived, along with estimates of standard errors...
  • MINMOD

  • Referenced in 11 articles [sw16356]
  • parameters for each individual. A nonlinear least squares estimation technique is used, employing a gradient...
  • aftgee

  • Referenced in 5 articles [sw14643]
  • features both rank-based estimates and least square estimates to the Accelerated Failure Time ... model. For rank-based estimation, it provides approaches that include the computationally efficient Gehan ... logrank weight. For the least square estimation, the estimating equation is solved with Generalized Estimating...
  • rms

  • Referenced in 85 articles [sw04532]
  • censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models ... models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized...
  • ARfit

  • Referenced in 37 articles [sw00046]
  • time series data with a stepwise least squares algorithm that is computationally efficient, in particular ... modules construct approximate confidence intervals for the estimated parameters and compute statistics with which...
  • softImpute

  • Referenced in 63 articles [sw12263]
  • values. The second approach uses alternating least squares. Both have an ”EM” flavor, in that ... matrix is completed with the current estimate. For large matrices there is a special sparse...
  • LVPLS

  • Referenced in 6 articles [sw22949]
  • latent variables path analysis with partial least-squares estimation...
  • cmm

  • Referenced in 5 articles [sw24365]
  • maximum likelihood estimation and weighted least squares estimation of categorical marginal models (CMMs; e.g., Bergsma...
  • PROC CALIS

  • Referenced in 4 articles [sw12071]
  • maximum likelihood (default) and generalized least squares estimation in PROC CALIS, the random variables ... Nonnormality, especially high kurtosis, can produce poor estimates and grossly incorrect standard errors and hypothesis ... with maximum likelihood (default) or generalized least squares estimation. If the number of observations...
  • matrixpls

  • Referenced in 4 articles [sw15456]
  • package matrixpls: Matrix-Based Partial Least Squares Estimation. Partial Least Squares Path Modeling algorithm...
  • NAPACK

  • Referenced in 70 articles [sw11666]
  • used to solve linear systems, to estimate the condition number or the norm ... invert a matrix, to solve least squares problems, to perform unconstrained minimization, to compute eigenvalues...
  • MLAMBDA

  • Referenced in 4 articles [sw24528]
  • modified LAMBDA method for integer least-squares estimation. The least-squares ambiguity Decorrelation (LAMBDA) method...
  • Bolasso

  • Referenced in 26 articles [sw31649]
  • model consistent Lasso estimation through the bootstrap. We consider the least-square linear regression problem ... intersecting the supports of the Lasso bootstrap estimates leads to consistent model selection. This novel...