Usage
lmsglm(x, y, family, weights, offset, n.samples = 100, max.samples = 200, epsilon = 1e-04, maxit = 50, trace = FALSE)
Arguments
x
a matrix or data frame containing the explanatory variables.
y
the response: a vector of length the number of rows of `x'.
family
a description of the error distribution and link function to be used in the model. See `family' for details.
weights
an optional vector of weights to be used in the fitting process.
offset
optional, a priori known component to be included in the linear predictor during fitting.
n.samples
number of good subsets to fit. It can be a numeric value or `"all"'.
max.samples
maximal number of subsets to fit. By default is set to twice `n.samples'.
epsilon
positive convergence tolerance epsilon. See glm.control for details.
maxit
integer giving the maximal number of IWLS iterations. See glm.control for details.
trace
logical, if TRUE a message is printed for every ten iterations completed during the search.