blandxtr: Main method for blandxtr-package

In ikoenemund/blandxtr: Advanced Bland Altman analysis for method comparison

Description

blandxtr performs advanced Bland Altman-analysis as proposed by Olofsen et al. (2015). Uses the following functions from blandxtr-package: basic_variables, var_tvv, loa, var_loa, ci_loa_ba, ci_loa_bt and ci_loa_mover.

Usage

blandxtr(input_data, bt, bias_alt, alpha, beta)

Arguments

input_data	data.frame or data.table with input dataset
bt	number of bootstrap samples (no bootstrapping if bt <= 0)
bias_alt	set TRUE for alternative calculation of bias (small within-subject variance) and its variance, set FALSE for standard calculation of bias (small between-subjects variance) and its variance
alpha	for 100*(1-alpha)%-confidence interval around LoA (default: 0.05)
beta	for 100*(1-beta)%-confidence interval around bias (default: 0.05)

Value

A list (blandxtr S3 object) containing the return values of all used functions.

Note

'_mod' labels results based on modified analysis of variance

Bootstrapping affects runtime severely. Set bt<=0 if you want to skip bootstrapping.

Author(s)

Inga Koenemund [e-mail]

ikoenemund/blandxtr documentation built on June 13, 2019, 8:53 p.m.