Changelog for 'lsmeans' package

1.06-05 - February 13, 2013
    Fixed a bug whereby unused levels of factors can create havoc.

1.06-00 - January 14, 2013
    Added a 'trend' argument for estimating and contrasting fitted trends
        rather than lsmeans

1.05-01 - December 5, 2012
    Fixed a bug that occurs when model contains expressions like (a + b + c)^2
        or other expressions that expand to interaction terms

1.05-00 - November 2, 2012
    Added an 'lf' boolean argument to return the matrices of linear functions
        without evaluating them
    Added a function 'lsm' and corresponding method for 'glht'; thus, now we
        can use lsm() much like mcp()
    Changed examples with glht to integer df -- due to a recent change in mvtnorm
        glhargs$df is coerced to an integer before passing, but in lsm() it is
        up to the user to pass appropriate arguments to glht


1.00-00 - October 19, 2012
    Added support for factors in 'at' argument (can use it to restrict results)
    Added columns with factor levels to lsmeans table - for possible use in plots
    Extended trt.vs.ctrl.lsmc to accommodate more than one reference level
        (Thanks to Florent Duyme, ARVALIS - Institut du v?g?tal, for suggesting this)
    Refinements to print methods, including new class 'data.frame.lsm' to display 
        results the way I want them
    If 'glhargs' is used, those elements are now of class 'summary.glht'. 
        We can still use those results in the same ways as before
    Added support for adjustment methods in 'p.adjust' (stats)
    Included a couple of sample datasets
    Various small bug fixes (e.g. subsets bug)


0.99-80 - September 19, 2012
    Now finds degrees of freedom when appropriate for all but lme objects
        (For mer objects, get df only if 'pbkrtest' installed)
    lsmeans tables now show confidence intervals instead of t tests
        and contrast output shows p values (both assuming df are available)
    Added a 'conf' argument for confidence level in lsmean intervals
    Added a 'glhargs' argument; if provided, lsmeans passes its contrasts 
        to the 'glht' function in the 'multcomp' package
    Added an 'adjust' argument for popular single-step multiplicity corrections
        (uncorrected, Tukey, Bonferroni, and Sidak)
    Contrast-generating functions now produce an 'adjust' attribute which 
        provides a default multiplicity-adjustment method
    The 'check.cells' argument is now deprecated. Instead, we do an actual 
        check of estimability in rank-deficient cases (currently can happen 
        only with 'lm' objects). This check is not optional
    Renamed the vignette to avoid confusion with the regular documentation
    Returned object is now assigned class "lsm" which has its own print method.


0.99 - August 27, 2012
    Now can handle predictors coerced to 'factor' or 'ordered'
    Now can handle predictors deleted due to rank deficiency
    Now can handle models with matrices among the predictors
        (uses 'cov.reduce' on each column; 'at' not supported for matrix covariate)
    Added support for gls objects (and documented that it works also for glm and glmer)
    Added a check for empty cells in the design (relative to the model). This (by default)
        forces a NA to be outputted for any lsmeans that are corrupted by rank deficiencies
    Generates a warning if specified factor(s) interact with other predictors
    Better and more comprehensive vignette
    Added a whole lot of comments to the code (you won't see these, but be glad,
        as it greatly aids maintainability)
    Added error messages for anticipatable user errors
    Numerous bug fixes and corrections to documentation
    Still no d.f. or P values. Those could take awhile.
    
0.90 - August 14, 2012
    First release, still needs some refinements and bullet-proofing