Package: bigsplines 1.1-1
Nathaniel E. Helwig
bigsplines: Smoothing Splines for Large Samples
Fits smoothing spline regression models using scalable algorithms designed for large samples. Seven marginal spline types are supported: linear, cubic, different cubic, cubic periodic, cubic thin-plate, ordinal, and nominal. Random effects and parametric effects are also supported. Response can be Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse Gaussian, or Negative Binomial.
Authors:
bigsplines_1.1-1.tar.gz
bigsplines_1.1-1.tar.gz(r-4.5-noble)bigsplines_1.1-1.tar.gz(r-4.4-noble)
bigsplines_1.1-1.tgz(r-4.4-emscripten)bigsplines_1.1-1.tgz(r-4.3-emscripten)
bigsplines.pdf |bigsplines.html✨
bigsplines/json (API)
| # Install 'bigsplines' in R: |
| install.packages('bigsplines', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:9ddb95e9af. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux-x86_64 | OK | Oct 29 2024 |
Exports:bigsplinebigssabigssgbigsspbigtpsbinsampcubkercubkersymcubkerzcubkerzsymgcvcssgcvgssgcvossgcvssagcvssggcvsspgetRandomimagebarlamcoeflamcoefglamlooplamloopglinkerlinkersymmakerkmmakessamakessgmakesspmakeZtXmakeZtZMPinvnbmlenomkernomkersymnum2colordkerordkermonordkersymordsplinepdsXtyperkerperkersympinvsmplotbarplotcipostvarpredict.bigsplinepredict.bigssapredict.bigssgpredict.bigssppredict.bigtpspredict.ordsplineprint.bigsplineprint.bigssaprint.bigssgprint.bigsspprint.bigtpsprint.ordsplineprint.summary.bigsplineprint.summary.bigssaprint.summary.bigssgprint.summary.bigsspprint.summary.bigtpsremlriremlvcrkronsmartssasmartssgsmartsspssadpmssaworkssBasisssblupssgworksspdpmsspworksumfreqsummary.bigsplinesummary.bigssasummary.bigssgsummary.bigsspsummary.bigtpstcprodtpskertpskersymunifqsumunifqsumg
Dependencies:quadprog
