NEWS
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.