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lphom
View on CRAN: Click
here
Download and install lphom package within the R console
Install from CRAN:
install.packages("lphom")
Install from Github:
library("remotes")
install_github("cran/lphom")
Install by package version:
library("remotes")
install_version("lphom", "0.3.5-5")
Attach the package and use:
library("lphom")
Maintained by
Jose M. Pavía
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-02
Latest Update: 2024-03-03
Description:
Provides a bunch of algorithms based on linear programming for estimating, under
the homogeneity hypothesis, RxC ecological contingency tables (or vote transition matrices)
using mainly aggregate data (from voting units).
References:
Pav
How to cite:
Jose M. Pavía (2021). lphom: Ecological Inference by Linear Programming under Homogeneity. R package version 0.3.5-5, https://cran.r-project.org/web/packages/lphom. Accessed 28 Jan. 2025.
Previous versions and publish date:
Other packages that cited lphom R package
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Other R packages that lphom depends,
imports, suggests or enhances
Complete documentation for lphom
Functions, R codes and Examples using
the lphom R package
Some associated functions: France2017D . France2017P . adjust2integers . confidence_intervals_pjk . error_lphom . lclphom . lp_apriori . lphom . lphom_dual . lphom_joint . nslphom . nslphom_dual . nslphom_joint . plot.lphom . print.lphom . print.summary.lphom . summary.lphom . tslphom . tslphom_dual . tslphom_joint .
Some associated R codes: adjust2integers.R . auxiliar.R . auxiliar_lp_apriori.R . confidence_intervals_pjk.R . error_lphom.R . lclphom.R . lp_apriori.R . lphom.R . lphom_dual.R . lphom_joint.R . nslphom.R . nslphom_dual.R . nslphom_joint.R . plot.R . print.R . summary.R . tslphom.R . tslphom_dual.R . tslphom_joint.R . Full lphom package functions and examples
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