mcradds1.1.1 package

Processing and Analyzing of Diagnostics Trials

anovaVCA

ANOVA-Type Estimation of Variance Components for Random Models

aucTest

AUC Test for Paired Two-sample Measurements

autoplot

Generate a ggplot for Bland-Altman Plot and Regression Plot

BAsummary-class

BAsummary Class

blandAltman

Calculate Statistics for Bland-Altman

calcBias

Systematical Bias Between Reference Method and Test Method

cat_with_newline

Concatenate and Print with Newline

Desc-class

Descriptive Statistics Class

descfreq

Summarize Frequency Counts and Percentages

descvar

Summarize Descriptive Statistics

diagTab

Creates Contingency Table

dixon_outlier

Detect Dixon Outlier

ESD_test

EDS Test for Outliers

esd.critical

Compute Critical Value for ESD Test

getAccuracy

Summary Method for MCTab Objects

getCoefficients

Get Regression Coefficients

getOutlier

Detect Outliers From BAsummary Object

h_difference

Compute Difference for Bland-Altman

h_factor

Factor Variable Per Levels

h_fmt_count_perc

Format count and percent

h_fmt_est

Format and Concatenate to String

h_fmt_num

Format Numeric Data

h_fmt_range

Format and Concatenate to Range

h_summarize

Summarize Basic Statistics

mcradds-package

mcradds Package

mcreg

Comparison of Two Measurement Methods Using Regression Analysis

MCTab-class

MCTab Class

nonparRI

Nonparametric Method in Calculation of Reference Interval

pearsonTest

Hypothesis Test for Pearson Correlation Coefficient

pipe

Pipe operator

printSummary

Print Summary of a Regression Analysis

RefInt-class

Reference Interval Class

refInterval

Calculate Reference Interval and Corresponding Confidence Interval

robustRI

Robust Method in Calculation of Reference Interval

SampleSize-class

SampleSize Class

show

Show Method for Objects

size_ci_corr

Sample Size for Testing Confidence Interval of Pearson's correlation

size_ci_one_prop

Sample Size for Testing Confidence Interval of One Proportion

size_corr

Sample Size for Testing Pearson's correlation

size_one_prop

Sample Size for Testing One Proportion

spearmanTest

Hypothesis Test for Spearman Correlation Coefficient

tpROC-class

Test for Paired ROC Class

tukey_outlier

Detect Tukey Outlier

VCAinference

Inferential Statistics for VCA-Results

Provides methods and functions to analyze the quantitative or qualitative performance for diagnostic assays, and outliers detection, reader precision and reference range are discussed. Most of the methods and algorithms refer to CLSI (Clinical & Laboratory Standards Institute) recommendations and NMPA (National Medical Products Administration) guidelines. In additional, relevant plots are constructed by 'ggplot2'.

  • Maintainer: Kai Gu
  • License: GPL (>= 3)
  • Last published: 2024-08-30