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2-27-61
Fixes to vcov calls to pass checks against R-devel
2-27-60
Startup message and Description encouraging users to switch to 'emmeans'
Removed 'extending' vignette as we won't be encouraging anyone to
add lsmeans support. An updated version exists in 'emmeans'
2.27-22
Improvements to detection of nested effects
New 'add_grouping()' function to redefine an existing factor as a
nested effect
Bug fix in handling 'nesting' argument
Handling of contrasts of just one case changed to prevent breaking
other things. Instead of an empty grid and a warning, we now get
one row named "(nothing)".
Defaults for 'adjust' in '[.ref.grid()' and 'rbind.ref.grid()' changed
due to all-too-likely high overhead in "mvt"
2.27
Added warning and workaround if user specifies a vector for `type`
Added support for nested structure(s) in the fixed effects.
Modifications to summary.ref.grid to suppress output for empty cells
in nested structures and handle 'by' groups of varying sizes
Added support for variable names having spaces (contr by Jonathon Love)
Additional 'weights' option of "flat"
Non-estimable cases are now displayed as "nonEst" in the summary
Various bug fixes
2.26
Moved code repository to https://github.com/rvlenth/lsmeans
Added BugReports: URL to DESCRIPTION
In 'cld', get error instead of message if "multcompView" not installed
Added warning message in 'predict.ref.grid(..., type = "response")'
when transformation is unknown.
Added support for models that have BOTH a link function and a
response transformation -- and additional prediction type "mu"
'recover.data' warns when there is a call in the model-fitting call,
as may happen in simulations.
Preliminary support for rstanarm package (stanreg objects)
-- but not for stan_betareg, stan_biglm, stan_gamm4
Addition of as.stanfit and as.mcmc.list; extension of as.mcmc
to support multiple chains
2.25-5
Added 'coef' method for 'ref.grid': returns the contrast coefficients
(if any) generated by 'contrast'.
Yet another bug correction for lme support (reverted to old code that worked
just fine until I tried to make it more efficient)
Improved labeling of lstrends when a contrast is specified
Bug fix for error when 'weights' specified but no weights available
Bug fix in ordinal support with weights
2.25
Now supports models with just the intercept
Added support for lsmeans(model, ~1) or lsmeans(model, "1")
so that you may obtain the average over all factors.
Corrected bug in lme support when data are subsetted
Updated and clarified license info to make it more compatible
with licenses of packages that depend on this one
2.24
lsm.options now returns the options visibly if no arguments are
provided
S4 class definitions modernized to use `slots` instead of
`representation`
'ref.grid' gets a new 'transform' argument that can be used instead
of following it with a call to 'regrid'
lstrends now correctly handles response transformations when
constructed with transform = "response"
lsmeans with a 'trend' argument can now have character 'specs',
and is generally more robust to user errors.
contrast() now handles log and logit models somewhat differently:
- inverse transformations are labeled as ratios whenever all the
linear functions sum to 0 (previously just pairwise comparisons)
- contrasts of logits are now annotated as being on the
"log odds ratio" scale
ref.grid and related functions previously did not detect response
transformations when model call had no argument named "formula"
(e.g., nlme::lme(fixed, random, ...) didn't work)
Now can handle not only models where covariates are made into factors,
but ones where factors are made into covariates, e.g.,
y ~ factor(x) + unclass(trt)
New option 'lmer.df' and corresponding 'mode' argument for 'merMod'
objects, allows user to specify Satterthwaite (new default),
K-R, or asymptotic degrees of freedom.
CAUTION: This may alter the results obtained by default with
'merMod' objects. Use 'lsm.options(lmer.df = "ken")' if you
want the same behavior as before
Added a 'df' argument to 'ref.grid' to make it more user-friendly
Fixed bug in recover.data.call with incorrect call to 'complete.cases'
This fix could change the reference values for covariates from
past results - especially for lme models or where 'data' is used
Addition to "extending" vignette illustrating how the 'rsm' package
supports 'lsmeans'
Misc. minor bug fixes and code improvements
2.23-5
More graceful handling of mu.hat <= 0 in regrid(., "log")
Added 'predict.type' argument to 'regrid'
Bug fixes related to the case where all estimates are NA
Addition of 'reversed' argument to 'cld'
Bug fixes for na.action handling. Results may now differ somewhat
from past versions, especially if you have covariates
Fixed bug in 'lstrends' when there is a response transformation
Fixed new bug that popped up when tbl_df objects are used
Under-the-radar support for Satterthwaite method from lmerTest.
To try it: `lsm.options(disable.satterth = FALSE)`
2.23
Added xtable support (actually uses xtableList)
Corrected bugs in rbind.ref.grid that caused error when rank-deficient,
and incorrectly reported 'avgd.over' information
In summary.ref.grid with type = "response", ensured CIs are never
reversed and SEs are always nonnegative
Fixed a bug in reverse-transforming estimates and CIs when the
a linear predictor is invalid (e.g., a negative sqrt)
Greatly increased transformation capabilities via 'make.tran'
Made messages more explicit about which transformation is/was used
Renamed 'adjustSigma' to 'sigmaAdjust' in 'lme' support to avoid
a conflict with 'adjust'
Improvements to lsm() which previously did not pass arguments like
'at' and 'by' to ref.grid
Added glht.list methods: coef, confint, plot, vcov
Added "log" capability to 'regrid'
'using-lsmeans' vignette updated to include more information on
'xtable', 'make.tran', and 'regrid'
'using-lsmeans' now also has a comprehensive index
Added .Last.ref.grid feature and lsm.option "save.ref.grid"
Expanded options to include null, side, and delta
2.22
If confidence intervals are requested and 'adjust' doesn't make
sense (e.g., "fdr"), we now default to "bonferroni" instead
of "none", and don't override the adjustment made for tests.
'update.ref.grid' now also allows directly replacing slots.
A new 'interaction' argument is added to 'contrast', thus
facilitating generation of interaction contrasts.
Improvements to 'test' with 'joint = TRUE'
Better error message in cases where no estimates are produced.
Basic support for 'betareg' objects
CITATION file added to reflect related JSS article.
2.21-1
Changed R dependency to >= 3.2; needed for rbind support
2.21
Changed implementation of pbkrtest.limit - now based on
number of rows of design matrix.
Added support for "hurdle" and zeroinfl" classes (pscl package)
In 'regrid', dffun now implements a containment method
Additional annotation to clarify when results are on the
linear-predictor scale.
Added courtesy wrappers pmmeans, pmtreans, pmmip, ... for
those who prefer "predicted marginal means" to
"least-squares means". Output is re-labeled as well.
Export a few hidden fcns of possible use to package developers
Updates to "extending" vignette
Miscellaneous bug fixes, including repair to d.f. method from `regrid`
2.20-23
Added 'get.lsm.option()', works like 'getOption()' but with defaults
obtained from 'lsmeans::defaults'
Added pbkrtest.limit option -- to limit object size of 'lmerMod' objects
for which the K-R method is used, to prevent excessive time/memory
Fixed bug that occurs with models where the response is not
discernible from the call.
In plot.lsmobj, int.adjust now defaults to object's 'adjust' setting
(as it should have originally)
2.20-2
Fixed error in df for joint tests with aovlist objects (but existing
ref.grid objects need to be rebuilt for it to work)
Patched problem with rbind with R < 3.2
2.20
Added 'rbind' function for combining ref.grids into one family
Added "[.ref.grid" method for subsetting a reference grid
Efficiency/robustness improvements to recover.data for certain models
Removed 'mixed' support -- afex >= 0.14 has its own lsmeans support
Added support for 'nnet::multinom' objects
Returned table from 'lsmip' now includes a "lattice" attribute;
also an additional 'plotit' argument to control its display
Changed DESCRIPTION to produce a clearer citation
2.19
Added optional `params` argument for `ref.grid` and related
functions - use it to specify variables in the model formula
that are not predictors
Added optional `vcov.` argument so user can override the default
vcov() with a function or specified matrix
Now supports model formulas containing `$` and `[[]]`
(and related exported function `All.vars`)
Revised support for survreg, coxph, coxme -- strata and cluster
no longer in reference grid.
Previous coxme support was bad for other reasons as well
Added as.glht method for 'lsm.list', similar to other methods
for this class
In 'contrast', when 'method' is a list, names are kept as-is
whereas previously there was an implicit 'make.names' call
Imports of globals from default packages per a change in CRAN
checking requirements.
2.18
In DESCRIPTION, moved all Enhances packages to Suggests;
Enhancements can't be tested and cause headaches
Fixed bug in lstrends - 'data' argument was not used correctly
Fixed bug in cld where fatal error occurs when type = "response"
Added temporary workaround for 'maov' and 'manova' objects
(error in stats coef.maov now fixed in R-devel)
Re-enabled existing code for 'mer' support (lme4.0) --
previously had trouble with > 1 Additional_repositories
Made "dunnettx"-adjusted critical values more robust
Coding improvements for adjusted p values and critical values
Added 'consec.lsmc' and 'mean_chg.lsmc' to available contrasts
Added support for the CARBayes package
2.17
Removed unneeded import of 'Matrix' (could have done this in 2.12
when I stopped using my own adaptation of 'pbkrtest' code)
Bug fix for gls, lme, nlme objects with 'weights' argument
Allows for character predictors in models as well as factors
Exported selected S3 methods for lsm.basis and recover.data
for use by other packages
Added 'post.beta' slot in 'ref.grid' and 'lsmobj' classes;
if not NA, holds sample from posterior of fixed effects.
Also added 'as.mcmc' function to return posterior sample
of lsmeans when 'post.beta' has data
Added support for 'MCMCglmm' and some 'mcmc' objects produced
by the 'MCMCpack' package
2.16
Added support for 'nlme' objects (for parameters in 'fixed')
(and associated additional vignette example)
Degrees of freedom now produced with lme and nlme objects
(uses containment-like method)
Addition of 'name' argument in 'contrast'
Now built with byte-compiler enabled
Bug fix in lstrends when there is a multivariate response
Corrected error in annotation for Tukey-adjusted P values
Other minor bug fixes and documentation improvements
2.15
Clarified annotations for Tukey and Scheffe-adjusted summaries
Moved estimability code to a separate 'estmability' package
Basic support for model objects in rms package
Explicit non-support for gam (previously ran due to
inheritance, but produced the wrong results!)
2.14
Model weights are now used instead of frequencies when weights
are not "equal"
Fixed error in 'lstrends' when 'specs' is two-sided formula
Added more/better references for LS means
Yet more enhancements for for clm, clmm, polr...
"mean.class" mode, uses response name for "prob" mode
"scale" mode does lsmeans for estimated log-scale
Enhancements to 'weights' argument in 'lsmeans':
- May now provide a matrix - it cycles through its rows
- weights = "show.levels" shows the factor comb's averaged
Added 'reverse' option to 'pairs'
Added 'type' argument in 'ref.grid' for convenience
Fixed some errors/omissions in documentation of 'update'
One-sided 'tail' spec now applies to CIs as well as tests
New adjustment methods added:
"mvt" provides exact one-step methods like Tukey, Dunnett
"dunnettx" is approximate and only available for 2-sided cases
Added contrast fcns "tukey" and "dunnett" - these are pseudonyms
for "pairwise" and "trt.vs.ctrl" resp.
More adjustments are available for confidence intervals
Tries harder to use only appropriate adjust methods
New 'estType' attribute for 'update' related to the above
'cld' accommodates when 'multcompView' isn't installed, thus
can still pass checks without that package
Removed .old.lsmeans and associated vignette
2.13
Provides for equivalence, noninferiority, etc. tests via
'side' and 'delta' arguments in 'summary' or 'test'. Also
for non-zero null values via 'null'
Added support for ordinal package objects 'clm', 'clmm'
Option 'mode' added for 'polr' objects, defaulting to "latent".
NOTE - NEED TO SET 'mode = "linear.predictor" TO REPRODUCE
PAST RESULTS FOR 'polr' OBJECTS.
nlme and lme4 moved to 'Enhances' field for consistency
### Added limited support for mer objects (lme4.0 package)
### I dropped this because it messes-up the CRAN checks
Added 'adjustSigma' option for 'lme' objects
(works like in 'summary.lme')
Fixed error in handling offsets for 'polr' objects
Fixed error in omitting modeled covariates when there was a
multivariate response.
Fixed bug in 'contrast' that failed to update 'pri.vars'
which, e.g., creates an error in a subsequent plot
Fixed bug in plot - it had ignored xlab when horizontal = FALSE
In lsmip with type = "response", the vertical axis is
now labeled with misc$inv.lbl when available
Removed frequencies and offsets from row labels in 'as.glht'
Fixed 'as.glht' so df may be omitted or set to NA for asymptotics
Renamed the 'parm' argument in 'test' to 'null'
Removed superfluous "P values are asymptotic" messages.
Revision to function producing estimates, SEs, and df
Added provision to specify 'estHook' and 'vcovHook' in 'misc' slot
to allow for custom routines for estimates and covariances.
'.is.estble' is renamed 'is.estble' -- exported and documented.
The 'by' variable for 'test' now also works when 'joint = TRUE'
2.12
*** Developers supporting lsmeans please note: ***
*** Change to lsm.basis prototype: Added a "..." argument ***
Removed own patch for df from pbkrtest in favor of its Lb_ddf.
This means you must have pbkrtest 0.4-1 or newer
Added 'plot.lsmobj' method to display confidence intervals
These plots also optionally can display comparison arrows
that attempt to display significance of pairwise comparisons
according to their degree of overlap
Added 'joint' argument to 'test'
Fixed a bug in vcov
Modified 'auto.noise' so 'side' has levels 'L' and 'R'
rather than 'R' and 'L' (so not in reverse position in plots!)
Added support for:
gee, geeglm, and geese objects (gee, geepack);
glmmadmb objects (glmmADMB);
mixed objects (afex)
Added 'lsmobj' function to construct an lsmobj from
summary statistics
Overhauled 'lsmeans-package' help page to provide an overview
with links to key functions, and integrated details of
model-specific implementation in a new 'models' help page
2.11
Added vcov method for ref.grid
Added 'weights' argument for lsmeans - may be numeric, or
the string "equal", "proportional", "outer", or "cells"
Enhanced 'cov.reduce' argument in 'ref.grid' to allow formulas,
useful when you think covariates depend on other variables.
Also, when cov.reduce is a list, it may now include
anything -- function, logical, or formula
Additional dataset 'feedlot'
Now 'cld' does not break when there are non-estimable lsmeans
Fixed situation where one error message masks another more
informative one
Added possibility of 'summary=' spec for lsm.options, which
sets defaults for summary, predict, and lsmip
Improvements/updates to vignettes
Minor coding/efficiency improvements
Removed 'df' arg for ref.grid, stupidly added in 2.10
(we can set df as part of 'options' arg)
2.10
Support for 'aovlist' objects (does intra-block analysis)
To use, avoid contr.treatment; use contr.sum or other that sums to 0
Added 'contrast', 'test', 'pairs', 'confint', 'cld' methods for
lsm.list, with 'which' argument defaulting to 1
Added 'disable.pbkrtest' option (via lsm.options) if you don't want
bias correction and K-R degrees of freedom with lmerMod objects
Added 'df' argument to 'ref.grid' constructor, also 'summary' and
'update'.
2.05
Corrected error in Tukey-adjusted confidence intervals
New dataset 'oranges'
Completely revised, improved vignette 'using-lsmeans'
New vignette 'extending lsmeans'
New 'mult.name' argument in 'ref.grid'
New 'lsm.options' function and associated support for
setting display defaults for various objects
Improved estimability checking and ability to set the
tolerance via lsmeans.options(estble.tol = ...)
Added estimability support for merMod, now that lme4
supports rank-deficient models
Miscellaneous small improvements to code and datasets
2.00-5
Additional message showing what factors have been averaged over
Now adds offsets to predictions when model contains
offset() terms (but not for an 'offset' argument)
New 'update' method for "ref.grid" objects
Broader support for transformations (see ?update.ref.grid)
Changed all S3 methods for "lsmobj", except 'show', to S3
methods for the "ref.grid" class, since they all work
just fine for this class as well.
Added an example for 'lstrends'
Removed unneeded misc$ylevs element in ref.grid objects
New way to bypass unneeded package-loading from pbkrtest
Added an example for lstrends as there wasn't one
Fixed minor bug in summary() - a try() call should have been
with silent=TRUE
2.00-4
Reverted to code that just loads pbkrtest and its required
(but unneeded) packages when pbkrtest is needed
2.00-3
Slight change in use of attach() in lsm.basis.merMod
2.00-2
Added some support for adjusted confidence limits
Minor bug fix to make recover.data work with more gls models
Fewer unneeded packages are loaded
2.00-1
Fixed a minor formatting issue in a vignette
2.00-0
This is a major redesign of the package. Single function 'lsmeans'
is replaced by methods for different types of models and
specifications, and returns an 'lsmobj' rather than a 'data.frame'.
New functions 'ref.grid', 'contrast', 'lstrends', and new 'summary',
'confint', 'test', 'glht', 'cld' methods for 'ref.grid' and 'lsmobj'
objects. See the vignette "lsmeans-changes" for more details.
This version is easily extensible to various types of model objects,
and several more are supported such as survreg, coxph, polr.
There is also full support for na.actions, and for back-transforming
results when a response is transformed or a link function is used.
1.10-4
Fixed bug in cld spec that caused multiple letter columns
1.10-3
Added cld capability
Fix to lsmip so factor levels are not re-ordered
Added new dataset: 'auto.noise'
Fixed problem in documentation link to another package
1.10-2
Added simple support for models with a multivariate response
Bug fix for case when only one contrast is specified
Examples that use lme4 package are made conditional per CRAN requirements
since lme4 version 1.0-4 and later depend on a non-portable package
Dependency modifications to meet CRAN requirements. Includes adding
multcomp as required package, since we enhance glht
1.10-01
Now works again for 'gls' objects
1.10-00
Added contrast families for effects and "deleted effects"
Added "scheffe" option for 'adjust' argument
Added lsmip function (interaction plots)
Fixed Tukey-adjusted P values for d.f. near 2.
(Note: ptukey does not work when there are less than 2 d.f.)
Allow covariates in 'specs' formula (also allows covariates to
have multiple levels and be part of the reference grid that
is averaged over in determining LS means)
Allow cov.reduce to be logical - mostly to implement a 'unique' option
No d.f. or adjusted covariance matrix for GLMMs (questionable validity,
plus pbkrtest won't play along)
Now checks lengths of contrast coef's for conformity
Fixed a bug in estimability checking (occurred when qr.R does not
return a square matrix)
Efficiency improvements. Now requires 'plyr' package
1.06-06 - June 13, 2013
Added support for lmerMod objects (gitHub version of lme4)
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
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