
LOWESS
 Referenced in 26 articles
[sw08989]
 data with longtailed symmetric errors (robust fitting). Statistics for inference are not computed ... Considerations in Smoothing Scatterplots by Locally Weighted Fitting. W. S. Cleveland. In Computer Science ... University, Raleigh, North Carolina, 1978. Robust Locally Weighted Fitting and Smoothing Scatterplots. W. S. Cleveland ... Program for Smoothing Scatterplots by Robust Locally Weighted Fitting. W. S. Cleveland. The American Statistician...

Sheppack
 Referenced in 11 articles
[sw07352]
 linear Shepard code is a statistically robust fit, intended to be used when the data ... contain outliers. SHEPPACK also includes a hybrid robust piecewise linear estimation algorithm RIPPLE (residual initiated...

nlr
 Referenced in 9 articles
[sw05244]
 generalized nonlinear least squares, and some robust fitting problems. The accompanying test examples include members...

ROBPCA
 Referenced in 63 articles
[sw11592]
 accurate estimates at noncontaminated datasets and more robust estimates at contaminated data. ROBPCA ... rapidly, and is able to detect exactfit situations. As a byproduct, ROBPCA produces...

brms
 Referenced in 19 articles
[sw19099]
 supported, allowing users to fit – among others – linear, robust linear, binomial, Poisson, survival, response times ... actually reflect their beliefs. In addition, model fit can easily be assessed and compared with...

MRG32k3a
 Referenced in 24 articles
[sw18715]
 statistically more robust than simple linear congruential generators that fit into a computer word...

robustlmm
 Referenced in 3 articles
[sw23530]
 introduce an R package, robustlmm, to robustly fit linear mixedeffects models. The package ... mixedeffects model estimation in R. The robust estimation method in robustlmm is based ... hierarchical (e.g., crossed) grouping structures. The robustness of the estimates and their asymptotic efficiency ... this tutorial, we show how to fit robust linear mixedeffects models using robustlmm...

RKToolbox
 Referenced in 19 articles
[sw14487]
 implementation of RKFIT, a robust algorithm for rational least squares fitting...

Rcapture
 Referenced in 10 articles
[sw13992]
 third type of models fitted by Rcapture are robust design models. It features two levels ... Rcapture have a loglinear form; they are fitted by carrying out a Poisson regression with ... models and the primary periods of a robust design. It also implements many...

ASA
 Referenced in 75 articles
[sw04736]
 developed to statistically find the best global fit of a nonlinear constrained nonconvex cost ... over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems...

SNOBFIT
 Referenced in 19 articles
[sw05289]
 Branch and FIT) is a MATLAB 6 package for the robust and fast solution ... sequential quadratic programming method based on fitted quadratic models to have good local properties. Various...

ROBFIT
 Referenced in 2 articles
[sw26603]
 ROBFIT. The latter (from ROBust FITting) is a computerized spectral analysis package developed ... mathematical techniques such as spline fitting, robust estimation and nonlinear regression...

coxrobust
 Referenced in 2 articles
[sw09174]
 coxrobust: Robust Estimation in Cox Model. Fit robustly proportional hazards regression model...

hdm
 Referenced in 4 articles
[sw21313]
 approximately sparse models. Including functions for fitting heteroscedastic robust Lasso regressions with nonGaussian errors...

BLINWDR
 Referenced in 3 articles
[sw27839]
 extension of the widely used linear robust curve fitting program LINWDR. Besides options for different ... order to handle the problem of distributional robustness in regression, the program offers the choice...

saeRobust
 Referenced in 1 article
[sw15467]
 Robust Small Area Estimation. Methods to fit robust alternatives to commonly used models used...

rsem
 Referenced in 4 articles
[sw06771]
 variables The paper develops a twostage robust procedure for structural equation modeling ... corresponding to the substantive variables are then fitted to the structural model in the second ... consistent SEs. Following the robust analysis, multiple model fit indices and standardized solutions are provided...

Pyglrm
 Referenced in 20 articles
[sw27003]
 python package for modeling and fitting generalized low rank models (GLRMs), based on the Julia ... principal components analysis (PCA), matrix completion, robust PCA, nonnegative matrix factorization, kmeans, and many...

otrimle
 Referenced in 10 articles
[sw17889]
 Performs robust cluster analysis allowing for outliers and noise that cannot be fitted...

GPfit
 Referenced in 16 articles
[sw14044]
 proposed a computationally stable approach for fitting GP models to deterministic computer simulators. They used ... genetic algorithm based approach that is robust but computationally intensive for maximizing the likelihood. This...