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RItools 0.3-5

• Now “Depends” on the survival package to bring in the strata and cluster functions (#141).

RItools 0.3-4

• Using .lm.fit() within slm.fit.csr.fixed given breaking changes in SparseM::chol() (#134)

RItools 0.3-3

• Adjusted arguments to xtable.xbal() to match the generic. (#131)

RItools 0.3-2

• 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

• Skipped tests that cause problems with systems using the ATLAS linear algebra library.

RItools 0.3-0

• 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

This is a maintenance release.

• Ensured that the package was compatible with R 4.1.2

RItools 0.1-17

This is a maintenance release.

• Ensured that the package was compatible with R 3.6.0

RItools 0.1-16

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

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

• 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

• 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.

CHANGES in RItools v. 0.1-11

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.