Documentation updated,nonzeroMean feature updated
fixed bug in nonzeroMean by using retol rather than tol
fixed bug in nonzeroMean by using retol rather than tol
fixed bug in nonzeroMean by using retol rather than tol
Add warning message if nonzeromean=FALSE and result converges almost to a single component
fixed bug in my_etruncnorm that caused NaN in PosteriorMean when g is supplied in ash(),modified mixsd function definition to avoid conflict with variable mixsd in the main function, added a stringent criteria for recommendation of nonzeromean algorithm based on central limit theorem
Update ash.R

Typo corrected
Create nonzeromean_test.R

Add test to measure performance of nonzeromean feature in ash()
Update ash.R
Modified criteria for recommendation of nonzeromean algorithm based on central limit theorem. Modified test file to compare the performance against default setting in various situations
Delete .DS_Store

Temp file generated Mac OS system
Update nonzeromean_test.R

updated with tables summarizing the results
modify vash

add uniform prior option, fix bugs, speed up
Fixed issue#23. Fixed one bug in ashci().
Fixed issue#24
Added semi-auto verbose option 'trace=TRUE/FALSE' based on SQUAREM to print current progress, which is helpful for monitoring large data. Fixed a bug that might cause NaN due to negative value in log() due to rounding
updated paper
Merge branch 'master' of https://github.com/stephens999/ash

Conflicts:
	package/.DS_Store
added example rmd for comparing the betahat and z score analyses
implemented computation of loglik for uniform components and zscores=TRUE