Package: cplm 0.7-12
Yanwei (Wayne) Zhang
cplm: Compound Poisson Linear Models
Likelihood-based and Bayesian methods for various compound Poisson linear models based on Zhang, Yanwei (2013) <doi:10.1007/s11222-012-9343-7>.
Authors:
cplm_0.7-12.tar.gz
cplm_0.7-12.zip(r-4.5)cplm_0.7-12.zip(r-4.4)cplm_0.7-12.zip(r-4.3)
cplm_0.7-12.tgz(r-4.4-x86_64)cplm_0.7-12.tgz(r-4.4-arm64)cplm_0.7-12.tgz(r-4.3-x86_64)cplm_0.7-12.tgz(r-4.3-arm64)
cplm_0.7-12.tar.gz(r-4.5-noble)cplm_0.7-12.tar.gz(r-4.4-noble)
cplm_0.7-12.tgz(r-4.4-emscripten)cplm_0.7-12.tgz(r-4.3-emscripten)
cplm.pdf |cplm.html✨
cplm/json (API)
NEWS
# Install 'cplm' in R: |
install.packages('cplm', repos = c('https://actuaryzhang.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/actuaryzhang/cplm/issues
- AutoClaim - Data sets in the cplm pakcage
- ClaimTriangle - Data sets in the cplm pakcage
- FineRoot - Data sets in the cplm pakcage
Last updated 10 months agofrom:fb421187ec. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win-x86_64 | OK | Oct 18 2024 |
R-4.5-linux-x86_64 | OK | Oct 18 2024 |
R-4.4-win-x86_64 | OK | Nov 17 2024 |
R-4.4-mac-x86_64 | OK | Nov 17 2024 |
R-4.4-mac-aarch64 | OK | Nov 17 2024 |
R-4.3-win-x86_64 | OK | Nov 17 2024 |
R-4.3-mac-x86_64 | OK | Nov 17 2024 |
R-4.3-mac-aarch64 | OK | Nov 17 2024 |
Exports:AICanovabcplmbspcoefcpglmcpglmmdeviancefittedfixefformulagetFginilogLikmodel.matrixplotplotFpredictranefresidresidualsshowsp2dsummarytermstpVarCorrvcov
Dependencies:biglmclicodacolorspaceDBIfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvminqamunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstatmodstringistringrtibbletweedieutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Tweedie compound Poisson linear models | cplm-package cplm |
Bayesian Compound Poisson Linear Models | bcplm |
Classes and Methods for a Compound Poisson Linear Model Object | $,cplm-method AIC,cpglm,missing-method anova,cpglmm-method bcplm-class coef,cpglm-method coef,cpglmm-method cpglm-class cpglmm-class cplm-class deviance,cpglm-method fitted,cpglm-method fitted,cpglmm-method fixef,bcplm-method fixef,cpglmm-method formula,cplm-method gini-class ListFrame-class logLik,cpglmm-method model.matrix,cplm-method names,cplm-method NullFunc-class NullList-class NullNum-class plot,bcplm,missing-method plot,gini,missing-method predict,cpglm-method predict,cpglmm-method print,cpglmm-method ranef,cpglmm-method resid,cpglm-method resid,cpglmm-method residuals,cpglm-method residuals,cpglmm-method show,bcplm-method show,cpglmm-method show,cplm-method show,gini-method summary,bcplm-method summary,cpglm-method summary,cpglmm-method summary.cpglmm-class terms,cplm-method VarCorr VarCorr,bcplm-method VarCorr,cpglmm-method VarCorr-methods vcov,cpglmm-method vcov,cplm-method [,cplm,character,missing,missing-method [,cplm,numeric,missing,missing-method [[,cplm,character,missing-method [[,cplm,numeric,missing-method |
Compound Poisson Generalized Linear Models | cpglm |
Compound Poisson Generalized Linear Mixed Models | cpglmm |
Data sets in the cplm pakcage | AutoClaim ClaimTriangle FineRoot |
Get and plot the smoothing function values | getF plotF |
The Gini index | gini |
2-dimentional Radial Spline | sp2d |
Generate basis functions for penalized spline smoothing. | bsp tp |