bootstrap_individual_ci

Degrees of freedom to use to calculate the
t-values used for the base interval.

orig_df

level of CI - if you fill in <code>probs</code>, will use those instead

alpha_level

Default <code>NULL</code>, and will use <code>alpha_level</code> to set
endpoints. Else will calculate these CI endpoints.

probs

Runs the bootstrap estimation method for a single set of coefs (not a list)

internal

Performs bootstrap resampling for most models that update() works for. There
are two primary functions: bootstrap_model() performs block resampling if random effects
are present, and case resampling if not; bootstrap_ci() converts output from
bootstrap model runs into confidence intervals and p-values. By default,
bootstrap_model() calls bootstrap_ci().
Package motivated by Humphrey and Swingley (2018) <arXiv:1805.08670>.

bootstrap_individual_ci: Runs the bootstrap estimation method for a single set of coefs (not a list)

Description

Usage

Arguments

Value