Major Release 2.0.0

CHANGES IN RRPP 2.0.0

NEW FEATURES

• Added arguments for restricted resampling to lm.rrpp and predict.lm.rrpp, and permutation of full model residuals (with restrictions) to lm.rrpp.
• Added new function, measurement.error.
• Added new function, lm.rrpp.ws.
• Added verbose arguments to most analytical functions to reduce dense results.
• Added utility functions (getANOVAStats, getPermInfo, getTerms, and getModels) to accommodate verbose function choices, plus allow users to easily extract objects as output.
• Added new function, ICCstats, for calculating ICC statistics for lm.rrpp fits.
• Added S3 generic functions for measurement.error, but also added a plot utility function, focusMEonSubjects, which builds off of plot.measurement.error, to focus attention on specific plot details.
• Added function, interSubVar, a utility function to use along with measurement.error,
  to visualize how variation between replicate measures, within subjects, can affect inter-subject variation.

BUG FIXES

• Fixed SSCP issue in summary.lm.rrpp that produces matrices of 0s. The issue was inherent to lm.rrpp, from erroneous assignment of models, only for output (not for mechanics).
• Attempted fix of predict.lm.rrpp for QR-truncated design matrices.
• Fixed illogical print.progess conditions in pairwise.
• Fixed potential problem with reliance on Matrix::qrQ, using rather, Matrix::qr.Q.
• Fixed GLS estimation issue with pairwise.

OTHER CHANGES

• argument SE added to coef.lm.rrpp for calculating bootstrap standard error.