proportion: Proportion of Significant Findings

In LMMstar: Repeated Measurement Models for Discrete Times

Proportion of Significant Findings

Description

Evaluate the proportion of test above the statistical significance level

Usage

proportion(object, n.sample, trace, ...)

Arguments

object	Wald_lmm object
n.sample	[numeric,>=0] number of bootstrap sample used to assess the uncertainty. If 0, then only the point estimate is computed.
trace	[logical] shoudl the execution of the boostrap be trace.
...	additional arguments passed to confint.Wald_lmm

Value

a data.frame with the estimated proportion (estimate column), standard error and confidence interval (when boostrap is used).

LMMstar documentation built on Nov. 9, 2023, 1:06 a.m.