Auxiliary function for ib bias correction.
ibControl(
tol = 1e-05,
maxit = 25,
verbose = FALSE,
seed = 123L,
H = 1L,
constraint = TRUE,
early_stop = FALSE,
cens = FALSE,
right = NULL,
left = NULL,
mis = FALSE,
prop = NULL,
out = FALSE,
eps = NULL,
G = NULL,
func = function(x) rowMeans(x, na.rm = T),
sim = NULL
)positive convergence tolerance \(\epsilon\).
The ib procedure converges when
\(||\hat{\theta}^{k+1}-\hat{\theta}^k||_2/p<\epsilon\),
where \(p\) is the dimension of \(\theta\).
integer representing the maximal number of iterations.
if TRUE, it prints some output in the console
at each iteration.
integer to set the seed (see Random).
integer representing the number of bootstrap estimates
(see ib).
if TRUE (default), constraint for extra_param
is used in the iterative procedure (see 'Details' of ib).
if TRUE (default is FALSE), the iterative
procedure stops as soon as there is no improvment in the minimization of
the objective function (see 'Details' of ib).
if TRUE the simulated responses are censored according to
left and right values.
double for right-censoring (only used if cens=TRUE).
double for left-censoring (only used if cens=TRUE).
if TRUE the simulated responses have missing data at random.
double between 0 and 1 representing the proportion of
missing data (only used if mis=TRUE).
if TRUE the simulated responses are also generated with a
contamination mechanism.
double between 0 and 1 representing the proportion of
outliers in the data (only used if out=TRUE).
a function to generate outliers. It takes only
a sample size as argument.
a function to reduce the H bootstrap estimates (rowwise).
By default, the average is computed. The user can supply a function.
One could imagine using other function such as the median or a trimmed mean.
a user-defined function for simulating responses (see 'Details')
a list with components named as the arguments.
sim allows the user to provide its own function for generating
responses. Currently it is only supported for generalized linear models with
the prototype `fun(object, control, extra_param, ...)` (see ib).
ib, the iterative procedure for bias correction.