NEWS

---

CLME 2.0-11 (2019-02-07)

• Removed a default value for seed in summary.clme
• Fixed error from setting names to NULL

CLME 2.0-10 (2018-05-23)

• Fixed out-of-sync metadata.
• Model now assumes ordred factor for constrained effect. If not, issues warning and attempts to force ordered=TRUE .

CLME 2.0-9 (2018-02-01)

• Fixed error in naming to prevent error with R 3.4.3

CLME 2.0-8 (2017-12-08)

• Streamlined of formula parsing (less messy).
• Fixes to plot.clme() for tree orders.
• Fixed error in removing duplicate patterns from auto-generated contraints.
• Added option to specify node in shiny_clme.
• shiny_clme will produce code used to run the specified model.

CLME 2.0-5

• Added reference to JSS manuscript: Jelsema and Peddada (2016)

CLME 2.0-4 (2015-07-13)

• Fixed error in logLik.clme.
• Changed maintainer email.
• Added explicit BIC.clme method (instead of forcing custom use of AIC.clme)
• Removed the bootstrap computations from clme() and put them into summary.clme().
• summary.clme() now returns a list of values (largely equivalent to output of clme()) but does not automatically print output to console.
• print.summary.clme() prints the output of summary.clme to the console.
• Improvements to the shiny_clme() application:
• Added "model running" indicator
• Enabled tab-delimited and xlsx formatted data input
• Multiple tabs for output.

CLME 2.0-3

• Noted nsim is in the fitted object of clme().
• Fixed error with method VarCorr() (failed unless "lme4" or "nlme" was loaded, redefined method VarCorr)
• Replaced vignette with static document.
• Implemented work-around to prevent error (stemming from package isotone) when there was only 1 constraint.

CLME 2.0-2 (2015-01-27)

• Fixed typo in printing of log-likelihood, AIC, BIC
• Added ellipses to MINQUE function to prevent errors from arguments em.eps and em.iter
• Improvements to shiny_clme() application

CLME 2.0-1 (2014-12-05)

• Minor updates to several functions

CLME 2.0-0

• Major changes to arguments, particularly:
• Formula interface implemented
• Removed necessity for custom PAVA algorithms (implemented function 'activeSet' from package isotone)
• Nks replaced with group vector input
• Qs removed, each random term now gets individual variance
• Provided more common methods for fitted objects

CLME 1.0-0

• Initial release of package Author / Maintainer: Casey M. Jelsema Assistant Professor Department of Biostatistics West Virginia University <[email protected]>