Imports: data.table, daterangepicker, DIZtools, DIZutils (>= 0.0.12),
DQAstats (>= 0.2.3), DT, jsonlite, knitr, lubridate, magrittr,

Imports: data.table, daterangepicker, DIZtools (>= 0.0.5), DIZutils (>=
0.1.0), DQAstats (>= 0.3.0), DT, jsonlite, knitr, lubridate,
magrittr, parsedate, shiny, shinyalert, shinydashboard,

0.1.1), DQAstats (>= 0.3.1), DT, jsonlite, knitr, lubridate,

Title: Core Functions for Data Quality Assessment
Description: Perform data quality assessment ('DQA') of electronic health
records ('EHR'). Publication: Kapsner et al. (2021)
Imports: data.table, DIZutils, e1071, future, future.apply, jsonlite,
kableExtra, knitr, magrittr, parsedate, rmarkdown, RPostgres,

Imports: data.table, DIZutils (>= 0.0.12), future, future.apply,
jsonlite, kableExtra, knitr, magrittr, parsedate, rmarkdown,

Imports: data.table, DIZtools, DIZutils (>= 0.0.13), future,
future.apply, jsonlite, kableExtra, knitr, magrittr, parsedate,

Imports: data.table, DIZtools (>= 0.0.5), DIZutils (>= 0.1.0), future,
Suggests: DT, remotes, testthat (>= 3.0.0)

Imports: data.table, DIZtools (>= 0.0.5), DIZutils (>= 0.1.1), future,
Suggests: DT, lintr, remotes, testthat (>= 3.0.0)

Title: Joint Dimension Reduction and Spatial Clustering
Description: Joint dimension reduction and spatial clustering is conducted for
Single-cell RNA sequencing and spatial transcriptomics data, and more details can be referred to
Yi Yang, Xingjie Shi, Wei Liu et al. (2021) <doi:10.1101/2021.06.05.447181>. It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well.
Depends: parallel, spatstat.geom, R (>= 4.0.0)
Imports: CompQuadForm, cowplot, ggplot2, GiRaF, MASS, Matrix, mclust,
methods, purrr, RColorBrewer, Rcpp (>= 1.0.5), Seurat, stats
Packaged: 2021-11-18 03:03:10 UTC; Liuxianju

Packaged: 2021-11-19 13:30:58 UTC; Liuxianju

Wei Liu, Xu Liao, Xiang Zhou, Shijie Shi and Jin Liu. (2021) <doi:10.1101/2021.12.25.474153>. It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well.
methods, purrr, S4Vectors, RColorBrewer, Rcpp (>= 1.0.5),
Packaged: 2022-01-07 03:15:54 UTC; Liuxianju