• tmvtnorm

  • Referenced in 18 articles [sw08073]
  • normal and Student t distribution. Computes probabilities, quantiles and densities, including one-dimensional and bivariate...
  • QICD

  • Referenced in 10 articles [sw19679]
  • Estimate the Coefficients for Non-Convex Penalized Quantile Regression Model by using QICD Algorithm. Extremely ... Descent Algorithm for High-dimensional Nonconvex Penalized Quantile Regression. This algorithm combines the coordinate descent ... method: the cross validation and BIC for quantile regression model. Details are described in Peng...
  • normalp

  • Referenced in 15 articles [sw10540]
  • density function, the distribution function and the quantiles from an exponential power distribution...
  • lqmm

  • Referenced in 10 articles [sw14399]
  • package lqmm: Linear Quantile Mixed Models. This is a collection of functions to fit quantile...
  • DepthProc

  • Referenced in 8 articles [sw17738]
  • several data depth techniques involving multivariate quantile-quantile plots, multivariate scatter estimators, multivariate Wilcoxon tests...
  • LambertW

  • Referenced in 11 articles [sw06066]
  • estimated from real world data, quantiles can be computed, and results plotted/printed in a ’nice...
  • mipmatch

  • Referenced in 11 articles [sw06773]
  • such as correlations between covariates; differences in quantiles; and differences in statistics, such...
  • truncdist

  • Referenced in 11 articles [sw15263]
  • evalue probability density functions, cumulative distribution functions, quantile functions and random numbers for truncated random...
  • HDDM

  • Referenced in 11 articles [sw16420]
  • beats alternative fitting methods like the χ2-quantile method as well as maximum likelihood estimation...
  • qrcm

  • Referenced in 5 articles [sw16728]
  • Parametric modeling of quantile regression coefficient functions. Estimating the conditional quantiles of outcome variables ... frequent in many research areas, and quantile regression is foremost among the utilized methods ... coefficients of a quantile regression model depend on the order of the quantile being estimated ... parametric functions of the order of the quantile. This approach may have advantages in terms...
  • bayesQR

  • Referenced in 7 articles [sw11009]
  • package bayesQR: Bayesian quantile regression. Bayesian quantile regression using the asymmetric Laplace distribution, both continuous...
  • stabledist

  • Referenced in 10 articles [sw19403]
  • stabledist: Stable Distribution Functions. Density, Probability and Quantile functions, and random number generation for (skew...
  • sbw

  • Referenced in 10 articles [sw21948]
  • correlations and also, for example, the quantiles of interactions of pairs and triples of observed...
  • gldex

  • Referenced in 9 articles [sw10548]
  • through the resample Kolmogorov-Smirnoff test, quantile plots and comparison of the mean, variance, skewness...
  • Quantregforest

  • Referenced in 5 articles [sw14249]
  • quantregForest: Quantile Regression Forests. Quantile Regression Forests is a tree-based ensemble method for estimation ... conditional quantiles. It is particularly well suited for high-dimensional data. Predictor variables of mixed...
  • ipc

  • Referenced in 8 articles [sw11783]
  • models; producing passage-time distributions and reliability quantiles or bounds...
  • grf

  • Referenced in 8 articles [sw27871]
  • methods for non-parametric least-squares regression, quantile regression, and treatment effect estimation (optionally using...
  • gld

  • Referenced in 4 articles [sw15011]
  • functional form. This package provides random numbers, quantiles, probabilities, densities and density quantiles for four ... provides the density function, distribution function, and Quantile-Quantile plots. It implements a variety...
  • factorQR

  • Referenced in 5 articles [sw06063]
  • factorQR: Bayesian quantile regression factor models , Package to fit Bayesian quantile regression models that assume...
  • EDAseq

  • Referenced in 5 articles [sw10345]
  • robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane ... sequencing depth): global-scaling and full-quantile normalization (Bullard...