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revengc
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Download and install revengc package within the R console
Install from CRAN:
install.packages("revengc")
Install from Github:
library("remotes")
install_github("cran/revengc")
Install by package version:
library("remotes")
install_version("revengc", "1.0.4")
Attach the package and use:
library("revengc")
Maintained by
Samantha Duchscherer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-18
Latest Update: 2019-01-08
Description:
Decoupled (e.g. separate averages) and censored (e.g. > 100 species) variables are continually reported by many well-established organizations (e.g. World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), World Bank, and various national censuses).The challenge therefore is to infer what the original data could have been given summarized information.We present an R package that reverse engineers decoupled and/or censored count data with two main functions.The cnbinom.pars function estimates the average and dispersion parameter of a censored univariate frequency table.The rec function reverse engineers summarized data into an uncensored bivariate table of probabilities.
How to cite:
Samantha Duchscherer (2017). revengc: Reverse Engineering Summarized Data. R package version 1.0.4, https://cran.r-project.org/web/packages/revengc
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Functions, R codes and Examples using
the revengc R package
Some associated functions: cnbinom.pars . column.marginal . contingency_table_example . rec . reweight.contingencytable . reweight.univariatetable . row.marginal . seedmatrix . univariate_table_example .
Some associated R codes: cnbinom.pars_function.R . format_data_for_functions.R . rec_function.R . reweight.contingencytable.R . reweight.univariatetable.R . seedmatrix_function.R . Full revengc package functions and examples
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