View source: R/cglasso_S3methods.R
fitted | R Documentation |
The accessor function fitted
extracts model fitted values from an R object inheriting class ‘cglasso
’.
## S3 method for class 'cglasso' fitted(object, lambda.id, rho.id, drop = TRUE, ...)
object |
an R object inheriting class ‘ |
lambda.id |
a vector of integers used to specify the lambda-values. |
rho.id |
a vector of integers used to specify the rho-values. |
drop |
logical. Dimensions can only be dropped if their extent is one. |
... |
further arguments passed to or from other methods. |
Fitted values extracted from ‘object
’ are returned.
Luigi Augugliaro (luigi.augugliaro@unipa.it)
Model-fitting functions cglasso
, cggm
and the accessor functions coef.cglasso
, residuals.cglasso
, predict.cglasso
and impute
.
set.seed(123) # Y ~ N(0, Sigma) and probability of left/right censored values equal to 0.05 n <- 1000L p <- 3L rho <- 0.3 Sigma <- outer(1L:p, 1L:p, function(i, j) rho^abs(i - j)) Z <- rcggm(n = n, Sigma = Sigma, probl = 0.05, probr = 0.05) out <- cglasso(. ~ ., data = Z) fitted(out, rho.id = 3L, drop = TRUE) # Y ~ N(b0 + XB, Sigma) and probability of left/right censored values equal to 0.05 n <- 1000L p <- 3L q <- 2 b0 <- runif(p) B <- matrix(runif(q * p), nrow = q, ncol = p) X <- matrix(rnorm(n * q), nrow = n, ncol = q) rho <- 0.3 Sigma <- outer(1L:p, 1L:p, function(i, j) rho^abs(i - j)) Z <- rcggm(n = n, b0 = b0, X = X, B = B, Sigma = Sigma, probl = 0.05, probr = 0.05) out <- cglasso(. ~ ., data = Z) fitted(out, lambda.id = 3L, rho.id = 3L, drop = TRUE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.