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ARCensReg
View on CRAN: Click
here
Download and install ARCensReg package within the R console
Install from CRAN:
install.packages("ARCensReg")
Install from Github:
library("remotes")
install_github("cran/ARCensReg")
Install by package version:
library("remotes")
install_version("ARCensReg", "3.0.1")
Attach the package and use:
library("ARCensReg")
Maintained by
Fernanda L. Schumacher
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-16
Latest Update: 2023-08-29
Description:
It fits a univariate left, right, or interval censored linear regression model
with autoregressive errors, considering the normal or the Student-t distribution for the
innovations. It provides estimates and standard errors of the parameters, predicts
future observations, and supports missing values on the dependent variable.
References used for this package:
Schumacher, F. L., Lachos, V. H., & Dey, D. K. (2017). Censored regression models with
autoregressive errors: A likelihood-based perspective. Canadian Journal of Statistics,
45(4), 375-392 .
Schumacher, F. L., Lachos, V. H., Vilca-Labra, F. E., & Castro, L. M. (2018). Influence
diagnostics for censored regression models with autoregressive errors. Australian & New
Zealand Journal of Statistics, 60(2), 209-229 .
Valeriano, K. A., Schumacher, F. L., Galarza, C. E., & Matos, L. A. (2021). Censored
autoregressive regression models with Student-t innovations. arXiv preprint
.
How to cite:
Fernanda L. Schumacher (2016). ARCensReg: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors. R package version 3.0.1, https://cran.r-project.org/web/packages/ARCensReg. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that ARCensReg depends,
imports, suggests or enhances
Complete documentation for ARCensReg
Functions, R codes and Examples using
the ARCensReg R package
Some associated functions: ARtCensReg . InfDiag . arcensreg . cloudceiling . phosphorus . plot.InfDiag . plot . plot.residARpCRM . predict . print . rARCens . residuals . summary .
Some associated R codes: ARtCensReg_final.R . ARtCensReg_utils.R . RcppExports.R . auxfunctions.R . finalfunction.R . finalfunctionDiag.R . finalfunctionGerar.R . princfunction.R . princfunctionDiag.R . princfunctionGerar.R . Full ARCensReg package functions and examples
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