Tracing the log-likelihood calculation of a model over each node of the tree

This is an S3 generic function providing tracing information for the likelihood calculation for a given tree, data and model parameters. Useful for illustration or for debugging purpose.

PCMLikTrace(
  X,
  tree,
  model,
  SE = matrix(0, PCMNumTraits(model), PCMTreeNumTips(tree)),
  metaI = PCMInfo(X = X, tree = tree, model = model, SE = SE, verbose = verbose),
  log = TRUE,
  verbose = FALSE
)

Arguments

X	a k x N numerical matrix with possible NA and NaN entries. For i=1,..., N, the column i of X contains the measured trait values for species i (the tip with integer identifier equal to i in tree). Missing values can be either not-available (NA) or not existing (NaN). These two values are treated differently when calculating likelihoods (see PCMPresentCoordinates).
tree	a phylo object with N tips.
model	an S3 object specifying both, the model type (class, e.g. "OU") as well as the concrete model parameter values at which the likelihood is to be calculated (see also Details).
SE	a k x N matrix specifying the standard error for each measurement in X. Alternatively, a k x k x N cube specifying an upper triangular k x k factor of the variance covariance matrix for the measurement error for each tip i=1, ..., N. When SE is a matrix, the k x k measurement error variance matrix for a tip i is calculated as VE[, , i] <- diag(SE[, i] * SE[, i], nrow = k). When SE is a cube, the way how the measurement variance matrix for a tip i is calculated depends on the runtime option PCMBase.Transpose.Sigma_x as follows: if getOption("PCMBase.Transpose.Sigma_x", FALSE) == FALSE (default): VE[, , i] <- SE[, , i] %*% t(SE[, , i]) if getOption("PCMBase.Transpose.Sigma_x", FALSE) == TRUE: VE[, , i] <- t(SE[, , i]) %*% SE[, , i] Note that the above behavior is consistent with the treatment of the model parameters Sigma_x, Sigmae_x and Sigmaj_x, which are also specified as upper triangular factors. Default: matrix(0.0, PCMNumTraits(model), PCMTreeNumTips(tree)).
metaI	a list returned from a call to PCMInfo(X, tree, model, SE), containing meta-data such as N, M and k. Alternatively, this can be a character string naming a function or a function object that returns such a list, e.g. the functionPCMInfo or the function PCMInfoCpp from the PCMBaseCpp package.
log	logical indicating whether a log-likelehood should be calculated. Default is TRUE.
verbose	logical indicating if some debug-messages should printed.

Value

The returned object will, in general, depend on the type of model and the algorithm used for likelihood calculation. For a G_LInv model and pruning-wise likelihood calculation, the returned object will be a data.table with columns corresponding to the node-state variables, e.g. the quadratic polynomial coefficients associated with each node in the tree.

See also

PCMInfo PCMAbCdEf PCMLmr PCMSim PCMCond PCMParseErrorMessage