Roger Peng's Software

tlnise 0.2-4

I uploaded a new version of tlnise today.  This version fixes (I think) some warnings from the Fortran compiler that were making the package fail R CMD check.

tlnise on CRAN right now

Version 0.2-2 of tlnise is on CRAN as I write. You can get it via

install.packages("tlnise")

in R.  Tell your friends!

tlnise uploaded to CRAN

I just uploaded version 0.2-2 of tlnise to CRAN. We'll see if it manages to pass all the checks. Barring any problems, you should be able to download the package from CRAN in a few days. From now on I'll be posting releases there instead of on this website. Future releases will mostly be maintenance releases since I don't have any big plans for the package.

tlnise version 0.1-4

A source package and Windows binary package are available for tlnise version 0.1-4.  This version has a fixed up man page and slightly better examples.

• Source:  tlnise_0.1-4.tar.gz (25.2K)
  
  • MD5: 332b09b2f5d52f0e0d246836b4906f5f
• WIndows:  tlnise_0.1-4.zip (61.8K)
  
  • MD5: b779d3b6eedeaa20b7d3829d3139f318

tlnise renumbered version

I've renumbered the versions for 'tlnise'.  The current version, posted here is 0.1-3.  This package is getting close to being released.  I just need to clean up a few things and maybe add more docs.

• Source package: tlnise_0.1-3.tar.gz (25.1K)
• MD5 checksum: bf78ae290bc8fe408fcecdce6d09ba1b

TLNise 1.0-2

Minor upgrade.  This one actually contains a non-useless help page for the 'drawSample()' function.

• Source package:  tlnise_1.0-2.tar.gz (25.5K)
• Windows binary package:  tlnise_1.0-2.zip (60.5K)

TLNise 1.0-1

I've packaged Phil Everson's TLNise software into an R package.  There is a basic help page and I've added a function drawSample() which draws samples from the posterior distribution of the second-stage mean. 

• Source package:  tlnise_1.0-1.tar.gz (25.4K)
• Windows binary package:  tlnise_1.0-1.zip (59.5K)

TLNise for R

I'm working on creating an R package for Phil Everson's TLNise (Two-Level Normal independent sampling estimation) software.  The conversion should be pretty straightforward since the original is written in S-PLUS.  I should be able to post a source and Windows package soon.