Title: Geostatistical Modelling of Spatially Referenced Prevalence Data

Description: It provides functions for both likelihood-based

and Bayesian analysis of spatially referenced prevalence data, and is
also an extension of the 'geoR' package.

Imports: splancs, truncnorm, methods, numDeriv
Depends: geoR, maxLik, raster, pdist, Matrix
Description: Provides functions for both likelihood-based

Imports: splancs, lme4, truncnorm, methods, numDeriv

and Bayesian analysis of spatially referenced prevalence data. For a tutorial on the use of the R package, see Giorgi and Diggle (2017) <doi:10.18637/jss.v078.i08>.
Suggests: geoR, R.rsp, INLA, knitr, rmarkdown

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: de Haan and Krsinich (2017) <doi:10.1111/roiw.12304> and Diewert and Fox (2020)
reshape, reclin, stringr, stats, xgboost, caret
Author: Jacek Białek [aut, cre] (<https://orcid.org/0000-0002-0952-5327>)

reshape, reclin, stringr, xgboost, caret, strex

Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020)

Title: Prioritizing Cancer Drugs for Interested Cancer
person(given = "Junwei", family = "Han",email = "hanjunwei1981@163.com",role = c("ctb", "cre")),
person(given = "Jieyi", family = "Di",email = "dijy_0419@yeah.net",role = "aut"),
person(given = "Baotong", family = "Zheng",email = "btzheng1116@163.com",role = "aut"))
Description: Prioritize candidate cancer drugs for drug repositioning based on the random walk with restart algorithm in a drug-drug functional similarity network. 1) We firstly constructed a drug-drug functional similarity network by integrating pathway activity and drug activity derived from the NCI-60 cancer cell lines. 2) Secondly, we calculated drug repurposing score according to a set of approved therapeutic drugs of interested cancer based on the random walk with restart algorithm in the drug-drug functional similarity network. 3) Finally, the permutation test was used to calculate the statistical significance level for the drug repurposing score.
Imports: igraph, dplyr, ROCR, visNetwork