Control parameters for inference

control_inf constructs a list with all necessary control parameters for statistical inference.

Usage

control_inf(
  vars_selection = FALSE,
  var_method = c("analytic", "bootstrap"),
  rep_type = c("auto", "JK1", "JKn", "BRR", "bootstrap", "subbootstrap", "mrbbootstrap",
    "Fay"),
  bias_inf = c("union", "div"),
  num_boot = 500,
  bias_correction = FALSE,
  alpha = 0.05,
  cores = 1,
  keep_boot,
  nn_exact_se = FALSE,
  pi_ij
)

Arguments

vars_selection

If TRUE, then the variables selection model is used.

var_method

the variance method.

rep_type

the replication type for weights in the bootstrap method for variance estimation passed to survey::as.svrepdesign(). Default is subbootstrap.

bias_inf

the inference method in the bias minimization.

if union, then the final model is fitted on the union of selected variables for selection and outcome models
if div, then the final model is fitted separately on division of selected variables into relevant ones for selection and outcome model.

num_boot

the number of iteration for bootstrap algorithms.

bias_correction

if TRUE, then the bias minimization estimation used during model fitting.

alpha

significance level, 0.05 by defult.

cores

the number of cores in parallel computing.

keep_boot

a logical value indicating whether statistics from bootstrap should be kept. By default set to TRUE

nn_exact_se

a logical value indicating whether to compute the exact standard error estimate for nn or pmm estimator. The variance estimator for estimation based on nn or pmm can be decomposed into three parts, with the third computed using covariance between imputed values for units in the probability sample using predictive matches from the non-probability sample. In most situations this term is negligible and is very computationally expensive so by default it is set to FALSE, but the recommended option is to set this value to TRUE before submitting the final results.

pi_ij

TODO, either a matrix or a ppsmat class object.

Value

List with selected parameters.

Usage

Arguments

Value

See also