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