# mvtboost 0.4.4

`mvtb.covex`

now estimates the covariance explained matrix, it is not estimated by default
- Arguments in
`mvtb`

correspond directly to `gbm`

- Tests are more flexible, maintainable, have improved coverage
- Documentation for several functions has been simplified
`mvtb.fit`

is now exported
- Any
`distribution`

can be any supported by `mvtb`

, but covariance explained can only be estimated when `distribution=gaussian`

# mvtboost 0.4

- Added
`mvtb.covex`

that directly returns the covariance explained matrix.
`mvtb.plot`

gains `return.grid`

argument to return gbm grid that is used for plotting
- Documentation of functions improved, using more
`\code{}`

statements, among other things
- Tests for summary functions improved
- Revised package vignettes
- corrected order of variable names for 'age', 'educ' and 'income' in wellbeing data
`mvtb.heat`

gains a `dec`

argument to specify the number of digits after the decimal to plot
- example in
`?mvtboost`

has been updated to produce a cleaner plot

# mvtboost 0.3

- Added wellbeing data and vignette
- Improved documentation for
`mvtb`

, and other functions
`mvtb.summary`

gains a `covex`

argument if covex is not wanted
`predict`

now drops unnecessary dimensions
`cluster.covex`

becomes `mvtb.cluster`

, a more generic way to cluster any table. obtains a 'plot' argument, a call to `mvtb.heat`

`heat.covex`

becomes `mvtb.heat`

, a generic way to heatmap any table (e.g. covex or relative influence). Has better plotting defaults to allow room for y-axis labels. Gets `cexRow`

,`cexCol`

arguments, with sensible defaults. Clustering can also be turned off by setting `clust.method=NULL`

.
`mvtb.perspec`

plots variable names by default, gets `ylab, xlab, zlab`

arguments
- fixed weighting influence bug in
`mvtb`

# mvtboost 0.2.2

- Corrected biased estimates for covex. Required a small correction factor: 1+(1-shrinkage)
- Added tests to verify correctness of this estimate

# mvtboost 0.2.0

- Added vignette
- First stable release.