
tmvtnorm
 Referenced in 18 articles
[sw08073]
 normal and Student t distribution. Computes probabilities, quantiles and densities, including onedimensional and bivariate...

QICD
 Referenced in 10 articles
[sw19679]
 Estimate the Coefficients for NonConvex Penalized Quantile Regression Model by using QICD Algorithm. Extremely ... Descent Algorithm for Highdimensional 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 quantilequantile 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 χ2quantile 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 KolmogorovSmirnoff 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 treebased ensemble method for estimation ... conditional quantiles. It is particularly well suited for highdimensional data. Predictor variables of mixed...

ipc
 Referenced in 8 articles
[sw11783]
 models; producing passagetime distributions and reliability quantiles or bounds...

grf
 Referenced in 8 articles
[sw27871]
 methods for nonparametric leastsquares 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 QuantileQuantile 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, globalscaling, and fullquantile normalization (Risso et al., 2011). Betweenlane ... sequencing depth): globalscaling and fullquantile normalization (Bullard...