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DESCRIPTION
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DESCRIPTION
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Package: PRONA
Title: Patient Reported Outcomes Network Analysis
Version: 0.0.0.9000
Authors@R:
person("Brandon", "Bergsneider", , "bbergs@stanford.edu", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-7013-8150"))
Description: Performs network analysis (NA) and unsupervised clustering
on patient-reported outcomes (PRO) data. These methods can be used
to better understand and model symptom co-occurrence and co-severity
patterns in PRO data, informing precision-health based symptom care.
See Bergsneider et al. Neuro-Oncology Advances, 2022 for an example.
License: `use_mit_license()`, `use_gpl3_license()` or friends to pick a
license
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Imports:
dplyr (>= 1.1.2),
tidyr (>= 1.3.0),
magrittr (>= 2.0.3),
reshape2 (>= 1.4.4),
ggplot2 (>= 3.4.1),
EGAnet (>= 2.0.0),
stats (>= 4.2.2),
ggridges (>= 0.5.4),
qgraph (>= 1.9.3),
networktools (>= 1.5.0),
mclust (>= 6.0.0),
igraph (>= 1.5.1),
tibble (>= 3.2.1),
ComplexHeatmap (>= 2.14.0),
circlize (>= 0.4.15),
NetworkComparisonTest (>= 2.2.1),
bootnet (>= 1.5.3),
huge (>= 1.3.5)
Suggests:
knitr,
rmarkdown
VignetteBuilder: knitr