# evoTS 1.0.2

## Bug fixes

- Fixed a bug in how the variance-covariance matrix of the decelerated
and accelerated models were defined.

## Other changes

- Implemented a change in the box constraints in the L-BFGS-B method
for the multivariate accelerated and decelerated models.
- Updated the list of messages to print as part of the output based on
how the ‘optim’ function may fail while searching for the maximum
likelihood for multivariate unbiased random walk models.

## Adjustments
currently only implemented the the development version on GitHuB

- Updated the list of messages to print as part of the output based on
how the ‘optim’ function may fail while searching for the maximum
likelihood for multivariate unbiased random walk models with a
shift.
- Fixed a bug in how the maximum likelihood parameters were reported
in the multivariate unbiased random walk model with a shift. The bug
only affected the output when a shift point was not defined while
iterations was defined.
- Changed some of the initial starting values in one of the functions
running multivariate OU models (fit.multivariate.OU) to make all
starting values identical across all functions and iteration options.
The starting values of off-diagonal elements in A and R are now always
0.
- Changed the function fit.all.univariate to prevent it from failing
when one of the variances is 0 and the sample size is 1.