NEWS
RItools 0.3-5 (2025-05-17)
- Now "Depends" on the
survival package to bring in the strata and cluster
functions (#141).
RItools 0.3-4 (2024-05-31)
- Using
.lm.fit() within slm.fit.csr.fixed given breaking changes in SparseM::chol() (#134)
RItools 0.3-3 (2023-03-10)
- Adjusted arguments to
xtable.xbal() to match the generic. (#131)
RItools 0.3-2 (2023-02-04)
- Adjusted terminology on
balanceplot() plots when using absolute=TRUE.
(#129)
- Updated some tidyverse/ggplot2 code to deal with deprecations.
- Using
bibentry() in citation to address deprecation.
RItools 0.3-1 (2022-08-10)
- Skipped tests that cause problems with systems using the ATLAS linear algebra
library.
RItools 0.3-0 (2022-07-20)
- Exporting
broom::glance() and broom::tidy() methods for balance test
objects, a work in progress (#90).
- Addressed error relating to setting of pseudo-inversion tolerances (#103).
xBalance stops short of correcting the error, to maintain
back-compatibility; but it gains a new argument, pseudoinversion_tol, with
which it can readily be fixed.
- New balanceTest function extends functionality of xBalance:
- Support for clustered designs
- More use of formula interface
- Multiple comparison adjustments for individual covariate tests
- Support for unit level weighting
- Introduced ggplot2 based plotting. Optional for xBalance objects; default for
new balanceTest objects.
RItools 0.2
This was an internal release not placed on CRAN.
RItools 0.1-18 (2022-02-28)
This is a maintenance release.
- Ensured that the package was compatible with R 4.1.2
RItools 0.1-17 (2019-07-10)
This is a maintenance release.
- Ensured that the package was compatible with R 3.6.0
RItools 0.1-16 (2018-06-19)
This is a maintenance release.
- Fixed a problem where the test suite was calling an external package that was
not a formal dependency of the core functionality of the package.
RItools 0.1-15 (2016-05-30)
This is a maintenance release.
- Fixed an obscure bug in which we indirectly fiddled with
data.table related
global options (#69)
- Disabled tests of RSVGTipsDevice-dependent functionality on Windows platforms,
where (as of this writing) RSVGTipsDevice does not build and check reliably
and is not distributed in binary through CRAN (#71)
RItools 0.1-14
This version was submitted to CRAN prematurely and ultimately was not released.
RItools 0.1-13 (2016-01-18)
- With
xBalance(), you can now specify strata "foo" and "bar" by including "+
strata(foo) + strata(bar)" in the fmla argument, without need to give a
separate strata argument (eg strata=list(foo=~foo, bar=~bar)).
RItools 0.1-12 (2014-07-24)
- Switched to base graphics instead of the lattice package for balance
plots.
- Option to make plots on absolute, instead of signed, values.
- Added the ability to include tooltips to balance plots when using
the RSVGTipsDevice package.
- Added a
balanceplot() function to handle plotting matrices, not just xbal
objects.
- Balance plots can be grouped into related variables. By default
factors are automatically grouped for
xbal objects.
- Some performance improvements when certain results are not requested.
post.alignment.transform argument to xBalance() allows modifying the data
after per-stratum centering.
subset method for xbal objects.
RItools 0.1-11 (2011-03-05)
NEW FEATURES
- the null SD of the difference in adjusted means is now reportable as
"adj.means.diffs.sd"
report="all" provides all relevant statistics
- Entering
args(xBalance) is now useful as a reminder of report= options.
DEPRECATED & DEFUNCT
- The default imputation method for missing data is the median. Before 0.1-9 it
was the mean. To use the mean, use
impfn=mean.default.
- Passing
strata=NULL to xBalance() is depracated, as it can be easy to do
inadvertently, with a misspelling of a non-null intended argument. For no
stratification, use list(unstrat=NULL), as is now the default.
BUG FIXES
display, align, etc arguments to xtable.xbal() have been enabled.
- In
xBalance(), when specifying a stratification using a formula with several
variables, as in ~x+y, the stratification you get is now interaction(x,y)
rather than just y.