Functions to perform robust estimation considering heavy-tailed distributions. Currently, the package includes linear regression, linear mixed-effect models, multivariate location and scatter estimation, multivariate regression, penalized splines and random variate generation.
|Date of publication||2016-07-07 16:02:12|
|Maintainer||Felipe Osorio <firstname.lastname@example.org>|
|License||GPL (>= 2)|
creatinine: Clinical trial on endogenous creatinine clearance
cyt: Concha y Toro vineyards
dental: An orthodontic measurement on several children over time
dialyzer: Ultrafiltration measurements for three centres
ereturns: Excess returns for Martin Marietta and American Can companies
heavy.control: Set control parameters
heavy.family: Family objects for heavy-tailed distributions
heavyFit: Estimation of Location and Scatter using multivariate...
heavyLm: (Multivariate) linear regression under heavy-tailed...
heavyLme: Linear mixed-effects models under heavy-tailed distributions
heavyLm.fit: Fitter functions for linear models under heavy-tailed...
heavyPS: Fit a penalized spline under heavy-tailed distributions
housePrices: Hedonic housing-price equation
life: Data on per-capita income and life expectancy
rmCauchy: Multivariate Cauchy Random Deviates
rmcnorm: Multivariate Contaminated Normal Random Deviates
rmnorm: Multivariate Normal Random Deviates
rmslash: Multivariate Slash Random Deviates
rmt: Multivariate Student-t Random Deviates
rsphere: Generation of Deviates Uniformly Located on a Spherical...