reda 0.3.0

New features

• Added M-spline for modeling baseline rate to function rateReg.
• Added argument check to function rateReg so that it is possible to skip
  the data checking step to slightly speed up the model fitting for cleaned
  data.
• Added option verbose to argument control of function rateReg to suppress
  all possible messages.
• Added variance estimates for sample MCF by Poisson process method, and
  confidence interval based on the asymptotic normality of MCF itself (in
  addition to the logarithm of MCF) to function mcf,formula-method.
• Allowed multiple categorical variables in function mcf,formula-method for
  the sample MCF for design with multiple factors.
• Added sample valve-seat dataset from Nelson (1995) for demonstration.

Major changes

• Borrowed the power from R package splines2 for piece-wise constant and
  splines based baseline rate function, and thus boosted the performance of
  reda in model fitting.
• Updated object class of fitted model, rateReg.
• Replaced generic function plotMcf with methods for function plot.
• Updated data checking procedure for a better performance.
• Added variable "gender" in sample simulated dataset, simuDat for a better
  demonstration of sample MCF function.

Minor changes

• Renamed all slot named boundaryKnots to Boundary.knots for consistency
  with spline functions.
• Updated vignettes for demonstration of new features.
• Added sample citation entry for reda.