Data Engineering and BI courses are free this week!
Models, coefficients, and standard errors in objects of class 'bas' are represented as a list of lists to reduce storage by omitting the zero entries. These functions coerce the list object to a matrix and fill in the zeros to facilitate other computations.
list2matrix.which(x, which.models = NULL)a 'bas' object
a vector of indices use to extract a subset
a matrix representation of x$what, with number of rows equal
to the length of which.models or total number of models and number of
columns x$n.vars
list2matrix.bas(x, which) is equivalent to
list2matrix.which(x), however, the latter uses sapply rather than a
loop.
list2matrix.which and which.matrix both coerce
x$which into a matrix.
Other as.matrix methods:
list2matrix.bas(),
which.matrix()
# NOT RUN {
data(Hald)
Hald.bic <- bas.lm(Y ~ ., data=Hald, prior="BIC", initprobs="eplogp")
coef <- list2matrix.bas(Hald.bic, "mle") # extract all ols coefficients
se <- list2matrix.bas(Hald.bic, "mle.se")
models <- list2matrix.which(Hald.bic) #matrix of model indicators
models <- which.matrix(Hald.bic$which, Hald.bic$n.vars) #matrix of model indicators
# }
Run the code above in your browser using DataLab