
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 threestage leastsquares estimates, TSLS option, and for nonlinear dynamic...

LAPACK
 Referenced in 1642 articles
[sw00503]
 solving systems of simultaneous linear equations, leastsquares 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, fullrank linear least ... squares problems, orthogonal and generalized orthogonal factorizations, orthogonal transformation routines, reductions to upper Hessenberg, bidiagonal...

mboost
 Referenced in 61 articles
[sw07331]
 risk functions utilizing componentwise (penalised) least squares estimates or regression trees as baselearners...

plfit
 Referenced in 231 articles
[sw23186]
 data, such as leastsquares fitting, can produce substantially inaccurate estimates of parameters for power...

VanHuffel
 Referenced in 214 articles
[sw05243]
 analysis. Total least squares (TLS) is one of the several linear parameter estimation techniques that...

DAKOTA
 Referenced in 67 articles
[sw05202]
 stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design...

LSQR
 Referenced in 367 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...

ivreg2
 Referenced in 14 articles
[sw31884]
 HOLS) estimator; default reporting of largesample statistics (z and chisquared rather than ... test of excluded instruments and Rsquared with included instruments ”partialledout”; enhanced KleibergenPaap ... also be used for ordinary least squares (OLS) estimation using the same command syntax...

aftgee
 Referenced in 5 articles
[sw14643]
 features both rankbased estimates and least square estimates to the Accelerated Failure Time ... model. For rankbased 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 88 articles
[sw04532]
 censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models ... models, the BuckleyJames model, generalized least squares for serially or spatially correlated observations, generalized...

PROC CALIS
 Referenced in 5 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...

ARfit
 Referenced in 38 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 leastsquares estimation...

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: MatrixBased 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 leastsquares estimation. The leastsquares ambiguity Decorrelation (LAMBDA) method...