PAsso (version 0.1.10)

test: Hypothesis testing of the partial association coefficients

Description

This function use bootstrapping to conduct hypothesis testing for the partial association coefficients. It directly applies onto the "PAsso" class of object generated by "PAsso".

Usage

test(object, bootstrap_rep = 300, H0 = 0, parallel = FALSE)

Arguments

object

An object of "PAsso" class, which is generated by "PAsso" function.

bootstrap_rep

The number of bootstrap replications. It may be slow.

H0

null hypothesis of partial correlation coefficient.

parallel

logical argument whether conduct parallel for bootstrapping partial association.

Examples

# NOT RUN {
# Import ANES2016 data in "PAsso"
data(ANES2016)
# Parial association:
PAsso_2v <- PAsso(responses = c("PreVote.num", "PID"),
                adjustments = c("income.num", "age", "edu.year"),
                data = ANES2016)

summary(PAsso_2v, digits=4)

PAsso_2v_test <- test(object = PAsso_2v, bootstrap_rep=20, H0=0, parallel=FALSE)
PAsso_2v_test

# }