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drLumi (version 0.1.2)

Multiplex Immunoassays Data Analysis

Description

Contains quality control routines for multiplex immunoassay data, including several approaches for: treating the background noise of the assay, fitting the dose-response curves and estimating the limits of quantification.

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Version

Install

install.packages('drLumi')

Monthly Downloads

9

Version

0.1.2

License

GPL (>= 2)

Maintainer

Hector Sanz

Last Published

September 23rd, 2015

Functions in drLumi (0.1.2)

SSl5

Self-Starting Nls 5 parameters logistic regression model
intra_icc

Estimate ICC of a data.frame
data_selection

Extracts samples information from a lum_export object or data.frame
SSexpcons

Self-Starting Nls exponential constraint regression model
SSexp

Self-Starting Nls exponential regression model
SSl5cons

Self-Starting Nls 5 parameters logistic constraint regression model
loq_derivatives

Limits of quantifications estimation using derivatives
summary.scluminex

Summary of a scluminex object
SSl4

Self-Starting Nls 4 parameters logistic regression model
ecdata

Expected concentration data
lum_import

Import Luminex data
loq_interval

Limits of quantifications estimation using interval method
conf_bands

Confidence interval for a scluminex object
scluminex

Estimates different models for each analyte.
est_conc

Estimates concentration given an scluminex object
lum_export

Extract and generates data.frame from lum_import object
plot.scluminex

Plot method for the scluminex class
get_outliers

Extract outliers from a scluminex object
SSl4cons

Self-Starting Nls 4 parameters logistic constraint regression model
invest

Estimate the concentration given a response value
mfidata

Median Fluorescence Intensity data
loq_cv

Limits of quantifications estimation using coefficient of variation