the accelerated failure time model to right censored data based
on least-squares principle
Due to lack of proper inference procedure and software,
the ordinary linear regression model is seldom used in practice
for the analysis of right censored data. This paper presents an
S-Plus/R program that implements a recently developed inference
procedure (Jin, Lin and Ying, 2006)\cite{Jin} for the
accelerated failure time model based on the least-squares
principle.

The Accelerated Failure Time Model to Right Censored Data Based
on Least-Squares Principle
Zhezhen Jin <zj7@columbia.edu>, Arvin Satwani <arvinsatwani@gmail.com>
Due to lack of proper inference procedure and software,
the ordinary linear regression model is seldom used in practice
for the analysis of right censored data. This paper presents an
S-Plus/R program that implements a recently developed inference
procedure (Jin, Lin and Ying, 2006) <doi:10.1093/biomet/93.1.147>
for the accelerated failure time model based on the least-squares
principle.

Constructs tables of counts and proportions out of data sets. It has simplified syntax appealing for novice and even for advanced user under time pressure. It is particularly suitable for exploratory data analysis or presentation to single out most appropriate pieces of tabulated information. The other important feature is possibility to insert tables to Excel and Word documents.

Constructs tables of counts and proportions out of data sets. It has simplified syntax appealing for novice and even for advanced user under time pressure. It is particularly suitable for exploratory data analysis or presentation to single out most appropriate pieces of tabulated information. The other important feature is possibility to insert tables to Excel and Word documents. This version also features capacity of log-linear and power analyses (original by Oleksandr Ocheredko <doi:10.35566/isdsa2019c5>) for tabulated data with GSL.
Rcpp (>= 1.0.5), RcppGSL (>= 0.3.9), graphics, stats
PowerPoisson.R RcppExports.R Plot.R Print.R table_f.R
tableToData.R