dlmtree.control.monotone: Control settings for dlmtree model fitting, when used for...
In dlmtree: Bayesian Treed Distributed Lag Models

dlmtree.control.monotone

R Documentation

Control settings for dlmtree model fitting, when used for monotone model

Control settings for dlmtree model fitting, when used for monotone model

dlmtree.control.monotone(
  gamma0 = NULL,
  sigma = NULL,
  tree.time.params = c(0.95, 2),
  tree.exp.params = c(0.95, 2),
  time.kappa = NULL
)

`gamma0`	vector (with length equal to number of lags) of means for logit-transformed prior probability of split at each lag; e.g., gamma_0l = 0 implies mean prior probability of split at lag l = 0.5.
`sigma`	symmetric matrix (usually with only diagonal elements) corresponding to gamma_0 to define variances on prior probability of split; e.g., gamma_0l = 0 with lth diagonal element of sigma=2.701 implies that 95% of the time the prior probability of split is between 0.005 and 0.995, as a second example setting gamma_0l=4.119 and the corresponding diagonal element of sigma=0.599 implies that 95% of the time the prior probability of a split is between 0.8 and 0.99.
`tree.time.params`	numerical vector of hyperparameters for monotone time tree.
`tree.exp.params`	numerical vector of hyperparameters for monotone exposure tree.
`time.kappa`	scaling factor in dirichlet prior that goes alongside 'time.split.prob' to control the amount of prior information given to the model for deciding probabilities of splits between adjacent lags.