Suggests: covr, ggplot2, ggpubr, htmlwidgets, knitr, rmarkdown,

"dlabel," and "dtseries" intents. Greyordinate data is read in as a "xifti"

Suggests: covr, ggplot2, ggpubr, grid, gridExtra, htmlwidgets, knitr,
rmarkdown, papayar, png, testthat (>= 3.0.0)

Description: Connect to the California Irrigation Management
Information System (CIMIS) Web API. See the CIMIS main page
<https://cimis.water.ca.gov/> and web API documentation

<https://cimis.water.ca.gov> and web API documentation

Title: R package for retrieving data from CIMIS.
Description: A set of functions for retrieving data from CIMIS, the
California Irrigation Management Information System.

Title: Causal Inference for Neuroscience
Author: Xi (Rossi) LUO with contributions from Dylan Small, Chiang-shan Li, and Paul Rosenbaum
Maintainer: Xi (Rossi) LUO <xi.rossi.luo@gmail.com>
Description: Many experiments in neuroscience involve randomized and fast stimulation while the continuous outcome measures respond at much slower time scale, for example event-related fMRI.  This package provide valid statistical tools with causal interpretation under these challenging settings, without imposing model assumptions.

Title: A Computational Pipeline for Bulk 'ATAC-Seq' Profiles
Description: Differential analyses and Enrichment pipeline for bulk 'ATAC-seq' data
analyses. This package combines different packages to have an ultimate package
for both data analyses and visualization of 'ATAC-seq' data.
Imports: ChIPseeker, DESeq2, dplyr, edgeR, fgsea, GenomicRanges,
ggplot2, ggrepel, grDevices, limma, utils, pheatmap,

for both data analyses and visualization of 'ATAC-seq' data. Methods are described in

grDevices, limma, utils, pheatmap, preprocessCore,

Title: Ready-to-Use Curated Gene Sets for 'cinaR'
Description: Immune related gene sets provided along with the 'cinaR' package.

Description: Simple interpolation methods designed to be used from C
code. Supports constant, linear and spline interpolation. An R
wrapper is included but this package is primarily designed to be
used from C code using 'LinkingTo'.  The spline calculations are
classical cubic interpolation, e.g., Forsythe, Malcolm and Moler
Authors@R: person("Rich", "FitzJohn", role = c("aut", "cre"),