rcox {gRcox} | R Documentation |
This is the main function for specifying and fitting RCON/RCOR models in the package.
rcox(gm = NULL, vcc = NULL, ecc = NULL, type = c("rcon", "rcor"), method = c("scoring", "ipm", "hyd", "user"), fit = TRUE, data = NULL, S = NULL, n = NULL, Kstart, control = rcox.control())
gm |
Generating class for a grapical Gaussian model, see 'Examples' for an illustration |
vcc |
List of vertex colour classes for the model |
ecc |
List of edge colour classes for the model |
type |
Type of model. Default is RCON |
method |
Estimation method. Default is 'scoring' which is stabilised Fisher scoring. An alternative is 'ipm' which is iterative partial maximisation. The methods 'hyd' and 'user' are for internal use and should not be called directly |
fit |
Should the model be fitted |
data |
A dataframe |
S |
An empirical covariance matrix (as alternative to giving data as a dataframe) |
n |
The number of observations (which is needed if data is specified as an empirical covariance matrix) |
Kstart |
An initial value for K |
control |
Controlling the fitting algorithms |
~~ If necessary, more details than the description above ~~
A model object of type 'rcox'.
Søren Højsgaard, sorenh@agrsci.dk