Gets bootstrap confidence intervals for each of the coefficients of variables/predictors.
ci(Beta, Beta_bootstrap, alpha = 0.05, type = c("basic", "quantile", "bca", "basic2"),
a, Beta2)An estimate of the coefficients.
Bootstrap estimates of the coefficients -- a B by p matrix, where B is the number of replications in the bootstrap and p is number of variables/predictors.
Significance level -- default is 0.05.
Different type of confidence interval: basic, quantile, bca (adjusted bootstrap confidence intervals) and basic2 (a modified basic confidence interval).
Parameter in the bca confidence interval.
An estimator of the coefficients used in the basic2 confidence interval.
A 2 by p matrix containing the confidence intervals -- the first row is the lower bounds of the confidence intervals for each of the coefficients and the second row is the upper bounds of the confidence intervals.