v0.2.0

• The case, parametric, and residual bootstraps now suppport glmerMod objects.
• The Wild bootstrap is available for lme and lmerMod objects.
• The CGR bootstrap is now the default "residual" bootstrap algorithm.
• Objects returned by the bootstrap() call are now of class lmeresamp.
• lmeresamp objects have a new structure, including a new stats dataframe (contains the observed value, bootstrap mean, standard error, and bias of each LME model parameter).
• New generic print() function that is compatible with lmeresamp objects
• New generic confint() function that is compatible with lmeresamp objects (the possible confidence intervals include: basic, normal, percentile, or all)
• A package vignette is now available
• Vignette outlines how to perform parallelization in bootstrap() using the doParallel and foreach packages
• New combine() function that combines processes split for parallelization for unified output