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

LAPACK
 Referenced in 1617 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 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, fullrank 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 leastsquares fitting, can produce substantially inaccurate estimates of parameters for power...

mboost
 Referenced in 54 articles
[sw07331]
 risk functions utilizing componentwise (penalised) least squares estimates or regression trees as baselearners...

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 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 84 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...

LVPLS
 Referenced in 6 articles
[sw22949]
 latent variables path analysis with partial leastsquares 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: 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...

Bolasso
 Referenced in 26 articles
[sw31649]
 model consistent Lasso estimation through the bootstrap. We consider the leastsquare 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 birthdeath...