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apc
View on CRAN: Click
here
Download and install apc package within the R console
Install from CRAN:
install.packages("apc")
Install from Github:
library("remotes")
install_github("cran/apc")
Install by package version:
library("remotes")
install_version("apc", "2.0.0")
Attach the package and use:
library("apc")
Maintained by
Bent Nielsen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-30
Latest Update: 2020-10-01
Description:
Functions for age-period-cohort analysis. Aggregate data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses. The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. Individual-level data should have a row for each individual and columns for each of age, period, and cohort. The statistical model for repeated cross-section is a generalized linear model. The statistical model for panel data is ordinary least squares. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) is used. Thus, the analysis does not rely on ad hoc identification.
How to cite:
Bent Nielsen (2014). apc: Age-Period-Cohort Analysis. R package version 2.0.0, https://cran.r-project.org/web/packages/apc
Previous versions and publish date:
Other packages that cited apc R package
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Other R packages that apc depends,
imports, suggests or enhances
Functions, R codes and Examples using
the apc R package
Some associated functions: apc.data.list . apc.data.list.subset . apc.data.sums . apc.fit.model . apc.forecast.ac . apc.forecast.ap . apc.forecast.apc . apc.forecast . apc.get.design . apc.get.index . apc.hypothesis . apc.identify . apc.indiv.compare.direct . apc.indiv.est.model . apc.indiv.model.table . apc.plot.data.all . apc.plot.data.level . apc.plot.data.sparsity . apc.plot.data.sums . apc.plot.data.within . apc.plot.fit.all . apc.plot.fit . apc.plot.fit.pt . apc.plot.fit.residuals . apc.polygon . apc_2.0.0-package . data.Belgian.lung.cancer . data.Italian.bladder.cancer . data.Japanese.breast.cancer . data.RH.mortality . data.US.prostate.cancer . data.aids . data.asbestos . data.loss.BZ . data.loss.TA . data.loss.VNJ . data.loss.XL . internal . new.apc.identify . new.apc.plot.fit . triangle .
Some associated R codes: apc_data.R . apc_data_sets.R . apc_fit.R . apc_forecast.R . apc_get_index.R . apc_identify.R . apc_indiv.R . apc_plot_data.R . apc_plot_fit.R . internal.R . new_apc_identify.R . new_apc_plot_fit.R . Full apc package functions and examples
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