A set of functions to declare labels and missing values, coupled
with associated functions to create (weighted) tables of frequencies and
various other summary measures.
Some of the base functions have been rewritten to make use of the specific
information about the missing values, most importantly to distinguish
between empty and declared missing values.
Many functions have a similar functionality with the corresponding ones from
packages "haven" and "labelled". The aim is to ensure as much compatibility
as possible with these packages, while offering an alternative in the
objects of class "declared".

c(
person(
"Adrian", "Dusa",
email = "dusa.adrian@unibuc.ro",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0002-3525-9253")
),
person(
"Daniel", "Antal",
email = "daniel.antal@dataobservatory.eu",
role = "ctb",
comment = c(ORCID = "0000-0001-7513-6760")
)
)
A zero dependency package containing functions to declare labels
and missing values, coupled with associated functions to create (weighted)
tables of frequencies and various other summary measures.
Some of the base functions have been rewritten to make use of the specific
information about the missing values, most importantly to distinguish
between empty and declared missing values.
Some functions have similar functionality with the corresponding ones from
packages "haven" and "labelled". The aim is to ensure as much compatibility
as possible with these packages, while offering an alternative in the
objects of class "declared".
admisc, covr, haven, knitr, labelled, pillar, rmarkdown,
spelling, testthat (>= 3.0.0), tibble, vctrs, vroom

Differential Co-expression and Differential Expression Analysis
person("Thomas", "Lui", , "tlui27@yahoo.com", role = c("aut", "cre"))
Given a set of gene expression data and functional gene set data, the program will return a table summary of the selected gene sets with high differential co-expression and high differential expression (HDC-HDE).

Differential Co-Expression and Differential Expression Analysis
Integrated differential expression (DE) and differential co-expression (DC) analysis on gene expression data based on DECODE (DifferEntial CO-expression and Differential Expression) algorithm.