• qrcm

  • Referenced in 14 articles [sw16728]
  • Parametric modeling of quantile regression coefficient functions. Estimating the conditional quantiles of outcome variables ... utilized methods. The coefficients of a quantile regression model depend on the order ... quantile being estimated. For example, the coefficients for the median are generally different from those ... modeling the regression coefficients as parametric functions of the order of the quantile. This approach...
  • QICD

  • Referenced in 20 articles [sw19679]
  • QICD. Estimate the Coefficients for Non-Convex Penalized Quantile Regression Model by using QICD Algorithm...
  • qrcmNP

  • Referenced in 2 articles [sw35602]
  • selection through quantile regression coefficient models. The coefficients of a quantile regression model ... regression (QR), different quantiles are estimated one at a time. Another possibility is to model ... that is referred to as quantile regression coefficients modeling (QRCM). Compared with standard ... covariates in this particular modelling framework. Unlike standard penalized quantile regression estimators, in which model...
  • clustEff

  • Referenced in 2 articles [sw31442]
  • cluster both effects curves, through quantile regression coefficient modeling, and curves in functional data analysis...
  • GLDreg

  • Referenced in 2 articles [sw15180]
  • unified, elegant quantile regression model from the reference line with smooth regression coefficients across different ... quantiles. The goodness of fit of the proposed model can be assessed via QQ plots ... under consideration. Statistical distributions of coefficients of the GLD regression line are obtained using simulation...
  • qgam

  • Referenced in 1 article [sw40863]
  • Additive Quantile Regression Models. Smooth additive quantile regression models, fitted using the methods of Fasiolo ... marginal loss minimization, while the regression coefficients are estimated using either PIRLS or Newton algorithm ... mgcv’, but fits non-parametric quantile regression models...
  • ReGenesees

  • Referenced in 1 article [sw18868]
  • Package ReGenesees: Design-Based and Model-Assisted analysis of complex sampling surveys. Multistage, stratified, clustered ... Ratios of Shares, Multiple Regression Coefficients and Quantiles. Automated Linearization of Complex Analytic Estimators. Design...
  • LAPACK

  • Referenced in 1713 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Maple

  • Referenced in 5403 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • NAG

  • Referenced in 425 articles [sw00610]
  • Produced by experts for use in a variety...
  • Octave

  • Referenced in 312 articles [sw00646]
  • GNU Octave is a high-level language, primarily...
  • R

  • Referenced in 10196 articles [sw00771]
  • R is a language and environment for statistical...
  • ROBETH

  • Referenced in 43 articles [sw00811]
  • ROBETH is the program library for robust statistical...
  • SODAS

  • Referenced in 74 articles [sw00885]
  • The author gives a short introduction to the...
  • SYSTAT

  • Referenced in 13 articles [sw01115]
  • SYSTAT hat alles, was Sie für die statistische...
  • GLIM

  • Referenced in 199 articles [sw01126]
  • GLIM - a system for interactive fitting of generalized...
  • EnKF

  • Referenced in 441 articles [sw02066]
  • EnKF-The Ensemble Kalman Filter The EnKF is...