getGEER {gee4} | R Documentation |
Extract or Get Generalized Components from a Fitted GEE-MCD/WGEE-MCD
Model
Description
Extract (or get) "components" - in a generalized sense - from a
fitted joint mean covariance model from an object of class "geerMod".
Usage
getGEER(object, name, sub.num)
## S3 method for class 'geerMod'
getGEER(object, name = c("m", "Y", "X", "Z", "W", "H", "D",
"T", "Sigma", "mu", "theta", "beta", "lambda", "gamma", "alpha", "sd", "FIM",
"quasilik", "BIC", "iter", "triple", "pij", "cpij"), sub.num = 0)
Arguments
object |
a fitted joint mean covariance model of class "geerMod", i.e.,
typically the result of geer().
|
name |
a character vector specifying the name(s) of the "component".
When sub.num is not specified or equal to 0, possible values are:
"m" a vector of number of measurement for each subject
"Y" response vector
"X" model matrix for mean structure
"Z" model matrix for covariance structure (the diagonal
matrix)
"W" model matrix for covariance structure (the lower triangular
matrix)
"H" a vector of weights used in WGEE-MCD
"FIM" Fisher Information matrix
"theta" parameter estimates of GEE-MCD/WGEE-MCD model
"sd" standard deviations for parameter estimates of
GEE-MCD/WGEE-MCD model
"beta" parameter estimates for mean structure model
"lambda" parameter estimates for covariace structure (the
diagonal matrix)
"gamma" parameter estimates for covariance structure (the lower
triangular matrix)
"quasilik" quasi-likelihood
"QIC" Quasi information criterion
"iter" number of iterations until convergence
"triple" (p, d, q)
"pij" a vector of remaining probability
"cpij" a vector of cumulative remaining probability
When sub.num is specified, possible values are:
"m" number of measurements for subject i
"Y" response vector for subject i
"X" model matrix of subject i for mean structure
"Z" model matrix of subject i for covariance structure (the
diagonal matrix)
"W" model matrix of subject i for covariance structure (the
lower triangular matrix)
"D" the estimated diagonal matrix for subject i
"T" the estimated lower triangular matrix for subject i
"Sigma" the estimated covariance matrix for subject i
"mu" the estimated mean for subject i
"pij" a vector of remaining probability for subject i
"cpij" a vector of cumulative remaining probability for subject i
|
sub.num |
refer to i's subject
|
Methods (by class)
Examples
fitgee.ar1 <- geer(cd4|id|time ~ 1|1, data = aids, triple =
c(6,3,3), method = 'gee-mcd', corr.struct = 'ar1', rho = 0.5, control =
geerControl(trace=TRUE))
sd <- getGEER(fitgee.ar1, "sd")
QIC <- getGEER(fitgee.ar1, "QIC")
Di <- getGEER(fitgee.ar1, "D", 10)
[Package
gee4 version 0.1.0.0
Index]