Package: pacta.aggregate.loanbook.plots 0.0.0.9001

Jacob Kastl

pacta.aggregate.loanbook.plots: Functions to Help Interpret PACTA for Banks Results for Many Institutions

This is an experimental package that contains functions to help interpret PACTA for Banks results, with a focus on making it easy to navigate and understand results across a large number of banks and loan books.

Authors:Jacob Kastl [aut, cre], RMI [cph, fnd]

# Install 'pacta.aggregate.loanbook.plots' in R:

install.packages('pacta.aggregate.loanbook.plots', repos = c('https://rmi-pacta.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rmi-pacta/pacta.aggregate.loanbook.plots/issues

Datasets:

abcd_test_data - ABCD test data
activity_units - Units for economic activities per sector and technology
loanbook_test_data - Loan book test data

On CRAN:

14 exports 2 stars 1.24 score 89 dependencies 1 scripts

Last updated 5 months agofrom:1bfa0892d3. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 23 2024
R-4.5-win	NOTE	Aug 23 2024
R-4.5-linux	NOTE	Aug 23 2024
R-4.4-win	NOTE	Aug 23 2024
R-4.4-mac	NOTE	Aug 23 2024
R-4.3-win	NOTE	Aug 23 2024
R-4.3-mac	NOTE	Aug 23 2024

Exports:aggregate_alignment_loanbook_exposure calculate_company_aggregate_alignment_sda calculate_company_aggregate_alignment_tms calculate_company_tech_deviation create_benchmark_loanbook plot_sankey plot_scatter plot_scatter_animated plot_timeline prep_sankey prep_scatter prep_scatter_animated prep_timeline validate_data_has_expected_cols

Dependencies:askpass base64enc bit bit64 bslib cachem callr cli clipr colorspace cpp11 crayon crosstalk curl data.table digest dplyr evaluate fansi farver fastmap fontawesome fs generics ggplot2 ggrepel glue gtable highr hms htmltools htmlwidgets httr igraph isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle magrittr MASS Matrix memoise mgcv mime munsell networkD3 nlme openssl pillar pkgconfig plotly prettyunits processx progress promises ps purrr r2dii.data r2dii.plot R6 rappdirs RColorBrewer Rcpp readr rlang rmarkdown sass scales stringi stringr sys tibble tidyr tidyselect tinytex tzdb utf8 vctrs viridisLite vroom webshot withr xfun yaml

Calculation of a company alignment metric

Rendered fromcompany_alignment_metric.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2023-08-22
Started: 2023-04-14

Calculation of exposure-weighted aggregated alignment metric

Rendered fromloanbook_aggregated_alignment_metric.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2024-03-04
Started: 2023-04-26

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
ABCD test data	abcd_test_data
Units for economic activities per sector and technology	activity_units
Return loan book level aggregation of company alignment metrics by exposure	aggregate_alignment_loanbook_exposure
Return company level sector alignment metric for each company	calculate_company_aggregate_alignment_sda
Return company level sector alignment metric for each company with option to disaggregate by buildout / phaseout.	calculate_company_aggregate_alignment_tms
Return company level technology deviations for TMS sectors. To be used as input into calculation of company level aggregate alignment metrics for production trajectory sectors.	calculate_company_tech_deviation
Return raw loan book containing the corporate economy benchmark	create_benchmark_loanbook
Loan book test data	loanbook_test_data
Make a sankey plot	plot_sankey
Plot alignment scatterplot	plot_scatter
Plot alignment scatterplot	plot_scatter_animated
Plot alignment timeline	plot_timeline
Prepare data to plot using 'plot_sankey()'	prep_sankey
Prepare data to plot scatterplot	prep_scatter
Prepare data to plot animated scatterplot	prep_scatter_animated
Prepare data to plot timeline	prep_timeline
Validate that a data frame contains expected columns	validate_data_has_expected_cols