Imports: car, data.table, ggplot2, goftest, graphics, gridExtra,
Suggests: covr, descriptr, knitr, rmarkdown, testthat, vdiffr, xplorerr

Title: filter the molecular descriptors for QSAR
Description: This package including two useful function, which can be
used for filter the molecular descriptors matrix for QSAR.

Description: A collection of functions to analyse '--omics' datasets such as DNA
methylation and gene expression profiles.

Title: Cell-Type-Specific Association Testing in Bulk Omics Experiments
Authors@R: person("Fumihiko", "Takeuchi", role = c("aut", "cre"),
Description: In bulk epigenome/transcriptome experiments, molecular expression
is measured in a tissue, which is a mixture of multiple types of cells.
This package tests association of a disease/phenotype with a molecular marker
The proportion of cell types in each sample needs to be given as input.
The package is applicable to epigenome-wide association study (EWAS) of
"omicwas: cell-type-specific epigenome-wide and transcriptome association study".
Imports: broom, data.table, dplyr, ff, glmnet, magrittr, MASS,
matrixStats, parallel, PCDimension, ridge, rlang, R.utils, sva,
Author: Fumihiko Takeuchi [aut, cre] (<https://orcid.org/0000-0003-3185-5661>)

The package is applicable to epigenome-wide association study (EWAS) and
matrixStats, parallel, PCDimension, rlang, sva, tidyr

matrixStats, parallel, purrr, rlang, tidyr

Title: Helper Tools for Managing Data, Dates, Missing Values, and Text
Maintainer: Adam B. Smith <adam.smith@mobot.org>
Description: An assortment of helper functions for managing data (e.g.,
rotating values in matrices by a user-defined angle, switching from
row- to column-indexing), dates (e.g., intuiting year from messy date
strings), handling missing values (e.g., removing elements/rows across
multiple vectors or matrices if any have an NA), and text (e.g.,
flushing reports to the console in real-time).
Author: Adam B. Smith [cre, aut] (<https://orcid.org/0000-0002-6420-1659>)

Title: OMOP CDM Databases using the Tidyverse
Description: Utility functions for querying electronic health record (EHR) data in
'OMOP' Common Data Model <https://www.ohdsi.org/data-standardization/the-common-data-model/>
databases using a 'tidyverse' approach based on 'dbplyr' lazy queries.
This allows efficient in-database querying and data wrangling without explicit
Depends: R(>= 3.0.0), dbplyr, dplyr, DBI, RSQLite