climextRemes

Tools for Analyzing Climate Extremes

CRAN Package

Functions for fitting GEV and POT (via point process fitting) models for extremes in climate data, providing return values, return probabilities, and return periods for stationary and nonstationary models. Also provides differences in return values and differences in log return probabilities for contrasts of covariate values. Functions for estimating risk ratios for event attribution analyses, including uncertainty. Under the hood, many of the functions use functions from 'extRemes', including for fitting the statistical models. Details are given in Paciorek, Stone, and Wehner (2018) doi:10.1016/j.wace.2018.01.002.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 285 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
19 downloadsMar 4, 2025
23 downloadsMar 5, 2025
3 downloadsMar 6, 2025
9 downloadsMar 7, 2025
2 downloadsMar 8, 2025
7 downloadsMar 9, 2025
6 downloadsMar 10, 2025
14 downloadsMar 11, 2025
9 downloadsMar 12, 2025
5 downloadsMar 13, 2025
3 downloadsMar 14, 2025
20 downloadsMar 15, 2025
3 downloadsMar 16, 2025
5 downloadsMar 17, 2025
11 downloadsMar 18, 2025
14 downloadsMar 19, 2025
16 downloadsMar 20, 2025
12 downloadsMar 21, 2025
10 downloadsMar 22, 2025
7 downloadsMar 23, 2025
19 downloadsMar 24, 2025
5 downloadsMar 25, 2025
6 downloadsMar 26, 2025
6 downloadsMar 27, 2025
16 downloadsMar 28, 2025
8 downloadsMar 29, 2025
3 downloadsMar 30, 2025
2 downloadsMar 31, 2025
10 downloadsApr 1, 2025
12 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
2
23

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,725 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Dec 02, 2024 with 43 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports2 packages