0.9.5

New features and improvements
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Robustness against non-normality: Default estimator now is "MLR", which
provides robust standard errors, a robust scaled test statistic, and
can handle missing values.

Option missing in RSA. If missing values are present, by default
missing = "fiml" is set, and a warning is issued that this is only
valid if the data are missing completely at random (MCAR) or missing at
random (MAR). Use missing = "listwise" to exclude missing values.

In the 3d plot, addtionally data points and hull can be projected on
the floor. Example: plot(r1, project=c("PA1", "contour", "points",
"hull"))

Improvements
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Internal restructuring to please CRAN; less dependencies (more imports)
etc.

Added Travis CI to the Github repo