myeloma

The problem is to relate survival times for multiple myeloma patients
to a number of prognostic variables.

datasets

Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.

Luis Vanegas

ssym

Fitting Semi-Parametric log-Symmetric Regression Models

myeloma function

A data frame with 65 observations on the following 7 variables.
  <dl> </dl> 

myeloma: Survival times for multiple myeloma patients

Description

Usage

Arguments

Format

References