Releases: jabenninghoff/quantrr
1.1.0
Updated Standalone Quarto site example:
-
Replaced
stopifnot()
in import data validation check with warnings to review validation results -
Added 'typical' losses in Forecast section using the geometric mean
-
Added percentage of years with no losses to the Forecast section
-
Loss Exceedance Curves now use a
log10
scale to improve readability
Added new functions:
-
gmean()
: calculate the geometric mean -
check_validation()
: raise warnings if there were issues with data validation
Other updates:
-
Updated Template to match Standalone site example
-
Add rendered standalone report sample to online documentation
1.0.1
- Updated with links to original demo and talk
1.0.0
First full release. Includes the following features:
-
"Risk Analysis Report" R Markdown Template for RStudio
-
"Standalone" Quarto site that implements the template and includes the "Widget Management System" example
-
Full documentation at https://jabenninghoff.github.io/quantrr/ and a Quick Start Guide in the README
Planned, not yet implemented:
-
Logo/Icon
-
"Risk Modeling with quantrr" vignette
0.1.0
Initial release. Implements basic package structure and two core functions:
-
lnorm_param()
: calculate the parameters of a log normal distribution from the 0.05 and 0.95 quantiles -
calc_risk()
: quantify risk using a Poisson distribution for loss event frequency, and a log-normal distribution for loss event magnitude