There is a package called climdex.pcic from the same institute which is more updated. I guess you can find functions in rclimdex.r in that package -project.org/web/packages/climdex.pcic/index.html
You can extract the archive manually and then load the functions therein with, e.g., source('bivpois.table.R'), or you can download the .RData file they provide and load that into the workspace with load('.RData'). This does not install the functions as part of a package; rather, it loads the functions into your global environment, making them temporarily available.
If you get a non-zero exit status first check to ensure all dependencies are installed as well. Read through the messaging. If that is checked off, then look for indications such as gfortran: No such a file or directory. That might be due to Apple OS compiler issues that some packages will not install unless you use their binary version. Look for binary zip file in the package cran.r-project.org page, download it and use the following command to get the package installed:
i personally do not expect this to be a minor change to the software. I cannot even download the R-package (RClimDex). I think there is currently no time to do this. Maybe with some external funding ;-)
If these 27 new operators do not replace the eca_* operators (maybe because they are essential for some users) but rather are additional operators, we will have lots of operators of which 9 produce the same results as the old 9. This could lead to confusion. Another aspect is that ETCCDI operators may be not as modular as the eca_* operators. For example, the rclimdex package delets the 29th of feb. in leap years. Will we adopt this method and use it everytime?
rclimdex Extreme climate index calculation procedure ClimDex software, which is directly in the R software using open.. ... rclimdex rclimdex 1.0 rclimdex.rar. Mach3 2010 Screenset e1a097fadc
This page presents Tunisia's climate context for the current climatology, 1991-2020, derived from observed, historical data. Information should be used to build a strong understanding of current climate conditions in order to appreciate future climate scenarios and projected change. You can visualize data for the current climatology through spatial variation, the seasonal cycle, or as a time series. Analysis is available for both annual and seasonal data. Data presentation defaults to national-scale aggregation, however sub-national data aggregations can be accessed by clicking within a country, on a sub-national unit. Other historical climatologies can be selected from the Time Period dropdown list. Data for specific coordinates can be downloaded for in the Data Download page. 2b1af7f3a8