added the reference to the publication in the Journal of Statistical Software
fixed an issue where the Bonferroni and Tippett methods were not
identical with adjust = "empirical" when the observed
Bonferroni-adjusted p-value is equal to 1
added the method by Chen & Liu (2011) for estimating the
effective number of tests via adjust = "chen"
changed name of binotest() function to
binomtest()
the HTML help files now show rendered equations with the help of
the mathjaxr package
increased resolution of mvnlookup table (now in
steps of .001)
meff() function now issues a warning if there are
negative eigenvalues (and if they were set to 0 for
method="galway")
added nearpd argument to all base functions; if
TRUE, a negative definite R matrix will be
turned into the nearest positive semi-definite matrix (only for
adjust="empirical" and
adjust="generalized")
implemented a simplified version of
Matrix::nearPD(); hence, dependence on the package
Matrix was removed
added a more specific test on p and
eigen that they are numeric vectors
improved the pkgdown docs and added a quick start
guide
changed the way the pseudo replicates are generated in
empirical() to a more stable method
slight improvements to the output of print.poolr()
when using the effective number of tests or empirical distribution
adjustments
mvnconv() now uses the variances from the lookup
table instead of cov2cor() for the transformation when
cov2cor=TRUE
added a check on R (where appropriate) that its
diagonal values are all equal to 1
added a check on p to convert it into a
numeric vector if it is a matrix with 1
row