• nlmdl

  • Referenced in 115 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 1617 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 401 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...
  • plfit

  • Referenced in 210 articles [sw23186]
  • data, such as least-squares fitting, can produce substantially inaccurate estimates of parameters for power...
  • mboost

  • Referenced in 54 articles [sw07331]
  • risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners...
  • 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 354 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 84 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...
  • LVPLS

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

  • Referenced in 62 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...
  • ARfit

  • Referenced in 36 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...
  • cmm

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

  • Referenced in 13 articles [sw10003]
  • character state per edge; estimating a phylogeny using the least squares method; simulating birth-death...