Description Usage Arguments Value Examples
CCRls
runs regressions with potentially more covariates than observations.
See c_chmod()
for the list of models supported.
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Y |
vector of dependent variable Y |
X |
design matrix (without intercept) |
kap |
maximum number of parameters to estimate in each active sequential step, as a fraction of the less of total number of observations n or number of covariates p. i.e. min(n,p) |
modclass |
a string denoting the desired the class of model. See c_chmod for details. |
tol |
level of tolerance for convergence; default |
reltol |
a logical for relative tolerance instead of level. Defaults at TRUE |
rndcov |
seed for randomising assignment of covariates to partitions; default |
report |
number of iterations after which to report progress; default |
... |
additional arguments to be passed to the model |
betas
parameter estimates (intercept first),
iter
number of iterations,
dev
increment in the objective function value at convergence
fval
objective function value at convergence
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