Package: polspline 1.1.25

Charles Kooperberg

polspline: Polynomial Spline Routines

Routines for the polynomial spline fitting routines hazard regression, hazard estimation with flexible tails, logspline, lspec, polyclass, and polymars, by C. Kooperberg and co-authors.

Authors:Charles Kooperberg [aut, cre], Cleve Moler [ctb], Jack Dongarra [ctb]

polspline_1.1.25.tar.gz
polspline_1.1.25.tar.gz(r-4.5-noble)polspline_1.1.25.tar.gz(r-4.4-noble)
polspline_1.1.25.tgz(r-4.4-emscripten)polspline_1.1.25.tgz(r-4.3-emscripten)
polspline.pdf |polspline.html✨
polspline/json (API)

# Install 'polspline' in R:
install.packages('polspline', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.87 score 126 packages 178 scripts 22k downloads 5 mentions 61 exports 0 dependencies

Last updated 7 months agofrom:c65fac0baf. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024

Exports:beta.polyclassclspeccpolyclassdesign.polymarsdharedheftdlogsplinedlspecdoldlogsplineharehefthharehheftlogsplinelspecoldlogsplineoldlogspline.to.logsplinepersp.polymarspharepheftplogsplineplot.hareplot.heftplot.logsplineplot.lspecplot.oldlogsplineplot.polyclassplot.polymarsplspecpoldlogsplinepolyclasspolymarsppolyclasspredict.polymarsprint.hareprint.heftprint.logsplineprint.lspecprint.oldlogsplineprint.polyclassprint.polymarsqhareqheftqlogsplineqoldlogsplinerharerheftrlogsplinerlspecroldlogsplinerpolyclasssummary.haresummary.heftsummary.logsplinesummary.lspecsummary.oldlogsplinesummary.polyclasssummary.polymarstesthareunstripxhare

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Polyclass: polychotomous regression and multiple classificationbeta.polyclass
Lspec: logspline estimation of a spectral distributionclspec dlspec plspec rlspec
Polyclass: polychotomous regression and multiple classificationcpolyclass ppolyclass rpolyclass
Polymars: multivariate adaptive polynomial spline regressiondesign.polymars
Hare: hazard regressiondhare hhare phare qhare rhare
Heft: hazard estimation with flexible tailsdheft hheft pheft qheft rheft
Logspline Density Estimationdlogspline plogspline qlogspline rlogspline
Logspline Density Estimation - 1992 versiondoldlogspline poldlogspline qoldlogspline roldlogspline
Hare: hazard regressionhare
Heft: hazard estimation with flexible tailsheft
Logspline Density Estimationlogspline
Lspec: logspline estimation of a spectral distributionlspec
Logspline Density Estimation - 1992 versionoldlogspline
Logspline Density Estimation - 1992 to 1997 versionoldlogspline.to.logspline
Polymars: multivariate adaptive polynomial spline regressionpersp.polymars
Hare: hazard regressionplot.hare
Heft: hazard estimation with flexible tailsplot.heft
Logspline Density Estimationplot.logspline
Lspec: logspline estimation of a spectral distributionplot.lspec
Logspline Density Estimation - 1992 versionplot.oldlogspline
Polyclass: polychotomous regression and multiple classificationplot.polyclass
Polymars: multivariate adaptive polynomial spline regressionplot.polymars
Polyclass: polychotomous regression and multiple classificationpolyclass
Polymars: multivariate adaptive polynomial spline regressionpolymars
Polymars: multivariate adaptive polynomial spline regressionpredict.polymars
Hare: hazard regressionprint.hare summary.hare
Heft: hazard estimation with flexible tailsprint.heft summary.heft
Logspline Density Estimationprint.logspline summary.logspline
Lspec: logspline estimation of a spectral distributionprint.lspec summary.lspec
Logspline Density Estimation - 1992 versionprint.oldlogspline summary.oldlogspline
Polyclass: polychotomous regression and multiple classificationprint.polyclass summary.polyclass
Polymars: multivariate adaptive polynomial spline regressionprint.polymars summary.polymars
Fake survival data for Hare and Hefttesthare
Reformat data as vector or matrixunstrip
Hare: hazard regressionxhare