Proposes a move in state space.
This operator changes a beast.tree.
Adaptable variance multivariate normal operator on cube description of a tree
scaleFactor, coefficient, beta, initial, burnin, every, optimise, tree, markclades, weight
| type: java.lang.Double |
| start scaling factor, larger values give bolder moves (this is tuned during the run) |
| Optional input. Default: 1.0 |
| type: java.lang.Double |
| determines diagonal correlation for variance matrix |
| Optional input. Default: 1.0 |
| type: java.lang.Double |
| fraction of proposal determined by non-covariance matrix |
| Optional input |
| type: java.lang.Integer |
| Number of proposals before covariance matrix is considered in proposal. Must be larger than burnin, if specified. If not specified (or < 0), the operator uses 200 * paramater dimension |
| Optional input. Default: -1 |
| type: java.lang.Integer |
| Number of proposals that are ignored before covariance matrix is being updated. If initial is not specified, uses half the default initial value (which equals 100 * paramater dimension) |
| Optional input. Default: 0 |
| type: java.lang.Integer |
| update interval for covarionce matrix, default 1 (that is, every step) |
| Optional input. Default: 1 |
| type: java.lang.Boolean |
| flag to indicate that the scale factor is automatically changed in order to achieve a good acceptance rate (default true) |
| Optional input. Default: true |
| type: beast.base.evolution.tree.Tree |
| beast.tree on which this operation is performed |
| Required input |
| type: java.lang.Boolean |
| Mark all ancestors of nodes changed by the operator as changed, up to the MRCA of all nodes changed by the operator. |
| Optional input. Default: false |
| type: java.lang.Double |
| weight with which this operator is selected |
| Required input |