c(
person("Sagiru", "Mati", role = c("aut", "cre"), email = "smati@smati.com.ng",comment=c(ORCID="0000-0003-1413-3974")))
It allows running 'Dynare' program from base R and R Markdown. 'Dynare' is a software platform for handling a wide class of economic models, in particular dynamic stochastic general equilibrium ('DSGE') and overlapping generations ('OLG') models.  This package does not only integrate R and Dynare but also serves as a 'Dynare' Knit-Engine for 'knitr' package. The package requires 'Dynare' (<https://www.dynare.org/>) and 'Octave' (<https://www.gnu.org/software/octave/download.html>).  Write all your 'Dynare' commands in R or R Markdown chunk.

c(person("Limei", "Wang", role = c("aut", "cre"),
email = "lemon619@gmail.com"),
person("Jin", "Li", role = c("aut", "ctb"),
email = "lijin0202@gmail.com"))
It is used to identify dysregulated pathways based on a pre-ranked gene pair list. A fast algorithm is used to make the computation really fast. The data in package 'DysPIAData' is needed.
Rcpp (>= 1.0.4), BiocParallel, fastmatch, data.table, stats,
parmigene, DysPIAData
Limei Wang [aut, cre],
Jin Li [aut, ctb]

Rcpp (>= 1.0.4), BiocParallel, fastmatch, data.table,
stats,parmigene

Background and Pathway Data Used in 'DysPIA'
This dataset includes Background and Pathway data used in package 'DysPIA'.

Management and Processing Tools for Data Produced by the
Empatica E4
person("Evan", "Kleiman", email = "evan.kleiman@rutgers.edu",
role = c("aut", "cre"))
Process and manage the data from the Empatica E4. All functions operate on the EDA data stream, but other streams will be added soon. The Empatica E4 is a wearable physiological monitor made by Empatica (Empatica is not associated with any of this code). You can find more information about the E4 at Empatica's website <https://www.empatica.com/research/e4/>.
BBmisc, DataCombine, signal, stats, utils, anytime, chron,
data.table, ggplot2, scales, accelerometry, hms

BBmisc, DataCombine, signal, stats, utils, anytime, chron,
data.table, ggplot2, scales, accelerometry, hms, doParallel,
doSNOW, parallel, foreach