• LOWESS

  • Referenced in 26 articles [sw08989]
  • data with long-tailed 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 exact-fit situations. As a by-product, 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 mixed-effects models. The package ... mixed-effects 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 mixed-effects 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 non-convex 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 non-Gaussian 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 two-stage 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, k-means, 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...