• PROGRESS

  • Referenced in 9 articles [sw26316]
  • developments in PROGRESS. The least median of squares (LMS) regression method is highly robust...
  • QICD

  • Referenced in 10 articles [sw19679]
  • Algorithm for High-dimensional Nonconvex Penalized Quantile Regression. This algorithm combines the coordinate descent algorithm ... need to compute a one-dimensional weighted median, which ensures fast computation. Tuning parameter selection ... cross validation and BIC for quantile regression model. Details are described in Peng...
  • qrcm

  • Referenced in 5 articles [sw16728]
  • utilized methods. The coefficients of a quantile regression model depend on the order ... estimated. For example, the coefficients for the median are generally different from those ... describe an approach to modeling the regression coefficients as parametric functions of the order...
  • copBasic

  • Referenced in 0 articles [sw15588]
  • copula inference are available. Quantile and median regressions for V with respect...
  • SAFD

  • Referenced in 14 articles [sw14547]
  • fuzzy numbers (sum, scalar product, mean, median, Hukuhara difference) as well as for calculating (Bertoluzza ... means, and a function to do linear regression given trapezoidal fuzzy data is included. Version...
  • gtsummary

  • Referenced in 1 article [sw36469]
  • Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create ... function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include...
  • ssym

  • Referenced in 5 articles [sw14396]
  • tools to fit a semi-parametric regression model suitable for analysis of data sets ... possibly, censored. Under this setup, both the median and the skewness of the response variable...
  • Rfast

  • Referenced in 2 articles [sw31536]
  • means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal...
  • meta-CART

  • Referenced in 1 article [sw27451]
  • proposed: an approach that applies classification and regression trees (CART) to identify interactions, and then ... effect sizes are dichotomized around the median value. Therefore, this article proposes new meta-CART ... sizes by their accuracy, and using a regression tree to avoid dichotomization. In addition...
  • vardpoor

  • Referenced in 0 articles [sw15123]
  • share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case...
  • GeomComb

  • Referenced in 0 articles [sw17919]
  • simple average, median, trimmed and winsorized mean, inverse rank method) and regression-based combination. Tools...
  • sharpData

  • Referenced in 1 article [sw34928]
  • estimator for any degree of local polynomial regression estimation. A cross-validation-based bandwidth selector ... often provide superior performance, according to a median integrated squared error criterion. Sample data sets...
  • SpatialVS

  • Referenced in 1 article [sw31495]
  • input. We use a spatial Poisson regression model to link the spatial counts and covariates ... Health. The demographic data (e.g., population density, median income, and average age) are from...
  • LGO

  • Referenced in 90 articles [sw00516]
  • The program system LGO serves to solve global...
  • Maple

  • Referenced in 5040 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 5883 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12074 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • mclust

  • Referenced in 257 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • R

  • Referenced in 8359 articles [sw00771]
  • R is a language and environment for statistical...