# mmbcv 1.0.0

- Added `heterogeneity_test()` for testing equality of transition-specific effects.
- Added `linear_trend_test()` for testing GLS linear trends.
- Added `order_restricted_test()` with chi-bar-square inference.
- Added support for coefficient subsets and user-specified transition scores.
- Created separate help pages for the three tests.
- Reorganized internal testing functions into separate source files.



# mmbcv 0.4.0

* Added `heterogeneity_test()` for an omnibus Wald test of equality among
  selected transition-specific coefficients.
* Added `linear_trend_test()` for one- or two-sided generalized least-squares
  trend tests with equally or unequally spaced transition scores.
* Added `order_restricted_test()` for monotone increasing or decreasing
  alternatives using a chi-bar-square reference distribution.
* All three tests accept integer, logical, or character coefficient selection
  through `index` and work with any conformable covariance estimator returned
  by `MMBCV()`.
* The order-restricted test calculates analytic chi-bar-square weights for one
  or two inequalities and simulation-based weights for higher dimensions. It
  returns the weights, weight Monte Carlo standard errors, and p-value Monte
  Carlo standard error, and accepts precomputed weights when desired.
