version 1.0

DESCRIPTION

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+Package: hdbma
+Type: Package
+Title: Bayesian Mediation Analysis with High-Dimensional Data
+Version: 1.0
+Date: 2023-12-16
+Authors@R: c(person("Qingzhao Yu", role = c("aut", "cre","cph"),
+                     email = "qyu@lsuhsc.edu"),
+                    person("Bin Li", role = "aut") )
+Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>
+Depends: R (>= 2.14.1), R2jags,gplots,MASS,survival,splines
+Imports: lattice, methods
+Encoding: UTF-8
+Description: Mediation analysis is used to identify and quantify intermediate effects from factors that intervene the observed relationship between an exposure/predicting variable and an outcome. We use a Bayesian adaptive lasso method to take care of the hierarchical structures and high dimensional exposures or mediators.
+License: GPL (>= 2)
+URL: https://www.r-project.org,
+        https://publichealth.lsuhsc.edu/Faculty_pages/qyu/index.html
+RoxygenNote: 7.2.3
+NeedsCompilation: no
+Packaged: 2023-12-15 01:53:30 UTC; qyu
+Author: Qingzhao Yu [aut, cre, cph],
+  Bin Li [aut]
+Repository: CRAN
+Date/Publication: 2023-12-15 12:30:02 UTC

MD5

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+ed2991f534b526d29afb18e9af46a8ff *DESCRIPTION
+18dd20324d0dc405ad19d753096b303a *NAMESPACE
+1c3ec2ffd235c8525c085b99a2b3add5 *R/hdbma.r
+744edad9bec7ff7c506610e6d1d051b9 *build/partial.rdb
+4c3e4821588dec2056d1d8b450f2ad9a *data/weight_behavior.rda
+934bb86fd5a71abdb8a744e0dbc04aa4 *man/hdbma-package.Rd
+b502582ac1202052d01cf6084c1da4f0 *man/hdbma.Rd
+4230658ec660efe8f0e6b6fa87a44b36 *man/print.summary.hdbma.Rd
+43aad45c80cde9348cbcd4320df8a6bf *man/summary.hdbma.Rd
+5eb4f4ef1d88c379c25956f9895c0911 *man/weight_behavior.Rd

NAMESPACE

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+exportPattern("^[^\\.]")
+import(R2jags,gplots,MASS,survival,splines)
+import("lattice")
+S3method(print,summary.hdbma)
+S3method(summary,hdbma)
+importFrom("grDevices", "rainbow")
+importFrom("graphics", "par")
+importFrom("methods", "is")
+importFrom("stats", "D", "binomial", "complete.cases", "glm", "lm",
+                "pgamma", "predict", "quantile", "sd")
+