Here’s some general information about kwb.flusshygiene.
| Field | Values |
|---|---|
| Package | kwb.flusshygiene |
| Title | Functions used within FLUSSHYGIENE project (BMBF) |
| Version | 0.3.0 |
| Authors@R | c(person(given = "Carsten", family = "Vick", role = "aut", email = "carsten.toad@gmail.com"), person(given = "Hauke", family = "Sonnenberg", role = "cre", email = "hauke.sonnenberg@kompetenz-wasser.de", comment = c(ORCID = "0000-0001-9134-2871")), person(given = "Wolfgang", family = "Seis", role = c("aut", "ths"), email = "wolfgang.seis@kompetenz-wasser.de", comment = c(ORCID = "0000-0002-7436-8575"))) |
| Description | Easy and transferable functions for creating and managing models for hygiene data in rivers. This package is developed within the FLUSSHYGIENE project. See https://bmbf.nawam-rewam.de/en/projekt/flusshygiene/ for details. |
| License | MIT + file LICENSE |
| URL | https://github.com/KWB-R/kwb.flusshygiene |
| BugReports | https://github.com/KWB-R/kwb.flusshygiene/issues |
| Depends | R (>= 3.4), stats, utils, graphics, grDevices |
| Imports | MASS (>= 7.3-47), dplyr (>= 0.7.4), tidyr (>= 0.7.2), tibble (>= 1.3.4), readr (>= 1.1.1), rlang (>= 0.4.0), lubridate (>= 1.7.1), ggplot2 (>= 2.2.1), rstanarm (>= 2.15.3), kwb.utils (>= 0.4.3), purrr (>= 0.3.2) |
| Suggests | knitr (>= 1.23), readxl (>= 1.3.1), rmarkdown (>= 1.13), testthat (>= 2.2.1) |
| VignetteBuilder | knitr |
| Remotes | github::kwb-r/kwb.utils |
| Encoding | UTF-8 |
| LazyData | true |
| RoxygenNote | 6.1.1 |
| RemoteType | github |
| RemoteHost | api.github.com |
| RemoteRepo | kwb.flusshygiene |
| RemoteUsername | kwb-r |
| RemoteRef | v0.3.0 |
| RemoteSha | b9fee176e392f7932673e8efb092114cfdcbd9d0 |
| GithubRepo | kwb.flusshygiene |
| GithubUsername | kwb-r |
| GithubRef | v0.3.0 |
| GithubSHA1 | b9fee176e392f7932673e8efb092114cfdcbd9d0 |
| NeedsCompilation | no |
| Packaged | 2021-05-28 11:14:12 UTC; mrustl |
| Author | Carsten Vick [aut], Hauke Sonnenberg [cre] (<https://orcid.org/0000-0001-9134-2871>), Wolfgang Seis [aut, ths] (<https://orcid.org/0000-0002-7436-8575>) |
| Maintainer | Hauke Sonnenberg <hauke.sonnenberg@kompetenz-wasser.de> |
| Built | R 4.0.4; ; 2021-05-28 11:14:13 UTC; windows |
This section analyzes the recursive package dependencies of kwb.flusshygiene.
Nodes are packages. Edges point in the direction of dependence.
| node | outDegree | inDegree | numRecursiveDeps | numRecursiveRevDeps | betweenness | pageRank |
|---|
node | outDegree | inDegree | numRecursiveDeps | numRecursiveRevDeps | betweenness | pageRank |
|---|---|---|---|---|---|---|
| DT | 6 | 1 | 19 | 3 | 7.083 | 0.004 |
| MASS | 5 | 3 | 5 | 9 | 1.358 | 0.004 |
| Matrix | 6 | 5 | 7 | 13 | 11.200 | 0.005 |
| R6 | 0 | 12 | 0 | 28 | 0.000 | 0.012 |
| RColorBrewer | 0 | 1 | 0 | 9 | 0.000 | 0.004 |
| Rcpp | 2 | 11 | 5 | 22 | 24.250 | 0.019 |
| RcppParallel | 0 | 4 | 0 | 6 | 0.000 | 0.008 |
| StanHeaders | 1 | 1 | 1 | 4 | 0.000 | 0.004 |
| V8 | 4 | 1 | 8 | 4 | 3.583 | 0.004 |
| askpass | 1 | 1 | 1 | 5 | 5.000 | 0.007 |
| backports | 0 | 1 | 0 | 6 | 0.000 | 0.005 |
| base64enc | 0 | 2 | 0 | 17 | 0.000 | 0.006 |
| bayesplot | 10 | 2 | 49 | 3 | 25.600 | 0.004 |
| boot | 2 | 1 | 4 | 3 | 0.000 | 0.004 |
| bslib | 7 | 1 | 16 | 8 | 34.333 | 0.004 |
| cachem | 2 | 1 | 3 | 8 | 0.000 | 0.004 |
| callr | 3 | 1 | 4 | 5 | 10.250 | 0.004 |
| checkmate | 2 | 1 | 2 | 5 | 5.500 | 0.004 |
| cli | 2 | 3 | 6 | 14 | 2.083 | 0.005 |
| clipr | 1 | 1 | 1 | 2 | 0.000 | 0.004 |
| colorspace | 4 | 1 | 5 | 10 | 2.833 | 0.005 |
| colourpicker | 8 | 1 | 62 | 3 | 4.883 | 0.004 |
| commonmark | 0 | 1 | 0 | 8 | 0.000 | 0.004 |
| compiler | 0 | 1 | 0 | 7 | 0.000 | 0.005 |
| crayon | 3 | 5 | 5 | 20 | 12.150 | 0.006 |
| crosstalk | 4 | 2 | 12 | 5 | 8.500 | 0.005 |
| curl | 0 | 2 | 0 | 6 | 0.000 | 0.005 |
| desc | 4 | 2 | 8 | 6 | 4.783 | 0.005 |
| digest | 1 | 5 | 1 | 22 | 0.958 | 0.008 |
| dplyr | 13 | 3 | 22 | 5 | 20.200 | 0.004 |
| dygraphs | 5 | 1 | 17 | 3 | 4.050 | 0.004 |
| ellipsis | 1 | 8 | 2 | 20 | 0.000 | 0.008 |
| fansi | 0 | 2 | 0 | 13 | 0.000 | 0.004 |
| farver | 0 | 1 | 0 | 9 | 0.000 | 0.004 |
| fastmap | 0 | 2 | 0 | 9 | 0.000 | 0.005 |
| fs | 1 | 1 | 5 | 10 | 3.000 | 0.004 |
| generics | 1 | 2 | 5 | 7 | 0.000 | 0.005 |
| ggplot2 | 13 | 7 | 37 | 7 | 139.167 | 0.006 |
| ggridges | 5 | 1 | 40 | 4 | 5.667 | 0.004 |
| glue | 1 | 10 | 5 | 26 | 18.950 | 0.014 |
| grDevices | 0 | 17 | 0 | 82 | 0.000 | 0.067 |
| graphics | 1 | 18 | 1 | 76 | 4.117 | 0.035 |
| grid | 2 | 8 | 2 | 22 | 4.908 | 0.013 |
| gridExtra | 5 | 2 | 5 | 4 | 3.667 | 0.004 |
| gtable | 1 | 2 | 3 | 9 | 0.000 | 0.005 |
| gtools | 3 | 1 | 5 | 3 | 0.000 | 0.004 |
| hms | 6 | 1 | 11 | 2 | 1.500 | 0.004 |
| htmltools | 5 | 11 | 5 | 16 | 38.500 | 0.014 |
| htmlwidgets | 4 | 4 | 11 | 7 | 8.417 | 0.006 |
| httpuv | 5 | 1 | 11 | 8 | 1.667 | 0.004 |
This section analyzes the dependency relationships between functions within kwb.flusshygiene.
Nodes are functions. Edges point in the direction of dependence.
| node | type | isExported | coveredLines | totalLines | coverageRatio | meanCoveragePerLine | filename | betweenness | outDegree | inDegree | numRecursiveDeps | numRecursiveRevDeps | pageRank |
|---|
node | type | isExported | coveredLines | totalLines | coverageRatio | meanCoveragePerLine | filename | betweenness | outDegree | inDegree | numRecursiveDeps | numRecursiveRevDeps | pageRank |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ask_for_variables | function | false | 1 | 60 | 0.017 | 0.017 | R/build_model.R | 0.000 | 2 | 0 | 4 | 0 | 0.020 |
| assess_bathing_quality_eu | function | true | 1 | 19 | 0.053 | 0.053 | R/assess_bathing_quality_eu.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| build_model | function | true | 3 | 3 | 1.000 | 1.333 | R/build_model.R | 7.000 | 2 | 1 | 5 | 2 | 0.027 |
| build_new_model | function | true | 1 | 18 | 0.056 | 0.056 | R/build_new_model.R | 4.000 | 3 | 1 | 8 | 1 | 0.023 |
| choose_model | function | true | 5 | 16 | 0.313 | 0.313 | R/choose_model.R | 0.000 | 0 | 1 | 0 | 1 | 0.023 |
| correlation_scatterplot | function | true | 1 | 15 | 0.067 | 0.067 | R/correlation_variables.R | 1.000 | 1 | 1 | 1 | 1 | 0.028 |
| correlation_values | function | true | 1 | 3 | 0.333 | 0.667 | R/correlation_variables.R | 0.000 | 0 | 1 | 0 | 2 | 0.044 |
| create_formula | function | true | 13 | 13 | 1.000 | 7.769 | R/build_model.R | 0.000 | 0 | 1 | 0 | 3 | 0.031 |
| find_neighbor | function | false | 1 | 3 | 0.333 | 0.333 | R/read_DWD_stationsliste.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| get_latest_season | function | true | 1 | 3 | 0.333 | 0.333 | R/model_prediction.R | 0.000 | 0 | 1 | 0 | 2 | 0.025 |
| get_mpn_ci | function | true | 0 | 19 | 0.000 | 0.000 | R/get_mpn_ci.R | 0.000 | 1 | 0 | 1 | 0 | 0.020 |
| get_newdata | function | true | 1 | 23 | 0.043 | 0.043 | R/model_prediction.R | 7.000 | 2 | 1 | 4 | 2 | 0.025 |
| get_paths | function | true | 5 | 9 | 0.556 | 0.556 | R/get_paths.R | 0.000 | 0 | 3 | 0 | 3 | 0.047 |
| import_riverdata | function | true | 1 | 9 | 0.111 | 0.222 | R/import_riverdata.R | 0.000 | 0 | 2 | 0 | 4 | 0.037 |
| plot_data_overview | function | true | 2 | 16 | 0.125 | 0.125 | R/plot_data_overview.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| plot_hygiene_overview | function | true | 1 | 22 | 0.045 | 0.045 | R/plot_hygiene_overview.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| plot_predicted_quality | function | true | 1 | 9 | 0.111 | 0.111 | R/model_prediction.R | 2.000 | 1 | 1 | 1 | 2 | 0.025 |
| plot_q_overview | function | true | 1 | 7 | 0.143 | 0.143 | R/plot_q_overview.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| plot_rain_overview | function | true | 1 | 9 | 0.111 | 0.111 | R/plot_rain_overview.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| plot_stan_model | function | true | 4 | 25 | 0.160 | 0.160 | R/plot_stan_model.R | 0.000 | 0 | 1 | 0 | 3 | 0.041 |
| predict_quality | function | true | 1 | 8 | 0.125 | 0.125 | R/model_prediction.R | 8.000 | 4 | 1 | 9 | 1 | 0.023 |
| print_latest | function | true | 1 | 7 | 0.143 | 0.143 | R/model_prediction.R | 0.000 | 0 | 1 | 0 | 2 | 0.025 |
| process_model_riverdata | function | true | 25 | 29 | 0.862 | 11.345 | R/build_model.R | 6.000 | 1 | 1 | 3 | 3 | 0.031 |
| process_model_riverdata_hs | function | false | 0 | 30 | 0.000 | 0.000 | R/process_model_riverdata_hs.R | 0.000 | 1 | 0 | 3 | 0 | 0.020 |
| readTableData | function | true | 4 | 4 | 1.000 | 1.000 | R/readTableData.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| read_dwd_stationsliste | function | false | 1 | 13 | 0.077 | 0.077 | R/read_DWD_stationsliste.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| read_dwd_xls | function | false | 1 | 3 | 0.333 | 0.333 | R/read_dwd_xls.R | 0.000 | 0 | 0 | 0 | 0 | 0.020 |
| river_model_prediction | function | true | 1 | 21 | 0.048 | 0.048 | R/river_model_prediction.R | 0.000 | 5 | 0 | 17 | 0 | 0.020 |
| search_existing_models | function | true | 1 | 11 | 0.091 | 0.091 | R/river_model_prediction.R | 0.000 | 0 | 1 | 0 | 1 | 0.023 |
| unroll_lagdays | function | true | 22 | 22 | 1.000 | 56.545 | R/unroll_lagdays.R | 9.000 | 1 | 2 | 1 | 9 | 0.091 |
| unroll_physical_data | function | true | 1 | 1 | 1.000 | 10.000 | R/unroll_lagdays.R | 14.000 | 1 | 3 | 2 | 7 | 0.074 |
| unroll_vector2lagmatrix | function | false | 4 | 4 | 1.000 | 375.000 | R/unroll_lagdays.R | 0.000 | 0 | 1 | 0 | 10 | 0.097 |
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