dialyzer

Data from a study to evaluate the in vivo ultrafiltration characteristics 
 of a group of hollow fiber dialyzers. The dializers were evaluated in three centres
 with each <code>centre</code> using a different type of dialysate delivery system. The
 data set was introduced by Vonesh and Carter (1987) consists of four ultrafiltration
 rate measurements (<code>y1</code>, <code>y2</code>, <code>y3</code> and <code>y4</code>).

datasets

Functions to perform robust estimation considering heavy-tailed distributions.
Currently, the package includes routines for linear regression, linear mixed-effect
models, Grubbs' model, multivariate location and scatter estimation, multivariate
regression, penalized splines, random variate generation and some support functions.

Felipe Osorio

heavy

Robust Estimation Using Heavy-Tailed Distributions

dialyzer function

A data frame with 40 rows and 5 columns.

dialyzer: Ultrafiltration measurements for three centres

Description

Usage

Arguments

Format