speedglm

Fitting Linear and Generalized Linear Models to Large Data Sets

CRAN Package

Fitting linear models and generalized linear models to large data sets by updating algorithms, according to the method described in Enea (2009, ISBN: 9788861294257).


Documentation


Team


Insights

Last 30 days

This package has been downloaded 7,770 times in the last 30 days. A solid achievement! Enough downloads to get noticed at department meetings. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 256 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 16, 2025
0 downloadsMar 17, 2025
0 downloadsMar 18, 2025
209 downloadsMar 19, 2025
230 downloadsMar 20, 2025
265 downloadsMar 21, 2025
173 downloadsMar 22, 2025
177 downloadsMar 23, 2025
317 downloadsMar 24, 2025
306 downloadsMar 25, 2025
302 downloadsMar 26, 2025
253 downloadsMar 27, 2025
339 downloadsMar 28, 2025
151 downloadsMar 29, 2025
155 downloadsMar 30, 2025
226 downloadsMar 31, 2025
244 downloadsApr 1, 2025
263 downloadsApr 2, 2025
289 downloadsApr 3, 2025
184 downloadsApr 4, 2025
141 downloadsApr 5, 2025
139 downloadsApr 6, 2025
255 downloadsApr 7, 2025
272 downloadsApr 8, 2025
776 downloadsApr 9, 2025
255 downloadsApr 10, 2025
340 downloadsApr 11, 2025
195 downloadsApr 12, 2025
143 downloadsApr 13, 2025
360 downloadsApr 14, 2025
247 downloadsApr 15, 2025
308 downloadsApr 16, 2025
256 downloadsApr 17, 2025
0 downloadsApr 18, 2025
0 downloadsApr 19, 2025
139
776

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 68,433 times in the last 365 days. An impressive feat! Enough downloads to make even seasoned academics take note. The day with the most downloads was Apr 09, 2025 with 776 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

  • Depends3 packages
  • Reverse Imports4 packages
  • Reverse Suggests6 packages
  • Reverse Enhances3 packages