Description: A collection of tools intended to make introductory
statistics easier to teach, including wrappers for common
hypothesis tests and basic data manipulation. It accompanies
Navarro, D. J. (2015). Learning Statistics with R: A Tutorial
for Psychology Students and Other Beginners, Version 0.6.

Description: A collection of tools intended to make introductory statistics easier to teach, including wrappers for common hypothesis tests and basic data manipulation. It accompanies Navarro, D. J. (2015). Learning Statistics with R: A Tutorial for Psychology Students and Other Beginners, Version 0.5. [Lecture notes] School of Psychology, University of Adelaide, Adelaide, Australia. ISBN: 978-1-326-18972-3. URL: http://health.adelaide.edu.au/psychology/ccs/teaching/lsr/.

Title: the accelerated failure time model to right censored data based on least-squares principle
Author: Lin Huang <lh2123@columbia.edu>, Zhezhen Jin <zj7@columbia.edu>
Description: 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.
Packaged: Sat Dec  9 23:16:52 2006; lynn

Title: the accelerated failure time model to right censored data based
Description: 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

Title: The Accelerated Failure Time Model to Right Censored Data Based
Author: Zhezhen Jin <zj7@columbia.edu>, Arvin Satwani <arvinsatwani@gmail.com>
procedure (Jin, Lin and Ying, 2006) <doi:10.1093/biomet/93.1.147>
for the accelerated failure time model based on the least-squares
Packaged: 2019-10-12 16:19:22 UTC; arvinsatwani