A set of tools for fluorescence fluctuation spectroscopy data analysis performance is provided in this package.
It includes techniques such as single-point fluorescence correlation spectroscopy, autocorrelation and pair correlation functions, number & brightness (raster line scan) and a novel, recently developed method by Hinde and co-workers, pair correlation of molecular brightness (doi:10.1038/ncomms11047).
For an in-depth description of the basics behind each function here included and a detailed step-by-step guide on how to use them on your own data, please refer to the Supplementary Material file provided at (<https://github.com/RPintoC/FCSlib_Sup_Data>).

For an in-depth description of the basics behind each function here included and a detailed step-by-step guide on how to use them on your own data, please refer to the Supplementary Material file provided at (<https://github.com/RPintoC/FCSlib>).

Title: A Collection of Fluorescence Fluctuation Spectroscopy Analysis
Author: Raúl Pinto Cámara, Adan Guerrero, Alejandro Linares, José Damián Martínez Reyes, Haydee Hernández.
Maintainer: Raúl Pinto Cámara <support.fcslib@mail.ibt.unam.mx>
This is a package for fluorescence fluctuation spectroscopy data analysis methods such as spFCS, FCCS, scanning-FCS, pCF, N&B and pCOMB, among others.
In addition, several data detrending tools are provided. For an extensive user's guide for the use of FCSlib, please navigate to (<https://github.com/FCSlib/FCSlib/tree/master/Documentation>).
Sample data can be found at (<https://github.com/FCSlib/FCSlib/tree/master/Sample%20Data>).
Depends: R(>= 3.6.0), tiff, stringr, bitops, fields

Author: Raúl Pinto Cámara, Adán Guerrero, Alejandro Linares, José Damián Martínez Reyes, Haydee Hernández.
The original paper where this package is presented can be found at (<doi:10.1093/bioinformatics/btaa876>).

Title: Estimation and Inference for the Fractionally Cointegrated VAR
Description: Estimation and inference using the Fractionally Cointegrated
Vector Autoregressive (VAR) model. It includes functions for model specification,
including lag selection and cointegration rank selection, as well as a comprehensive
set of options for hypothesis testing, including tests of hypotheses on the
cointegrating relations, the adjustment coefficients and the fractional
An article describing the FCVAR model with examples is available on the Webpage
Author: Lealand Morin [aut, cre] (<https://orcid.org/0000-0001-8539-1386>),