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PartCensReg  

Estimation and Diagnostics for Partially Linear Censored Regression Models Based on Heavy-Tailed Distributions
View on CRAN: Click here


Download and install PartCensReg package within the R console
Install from CRAN:
install.packages("PartCensReg")

Install from Github:
library("remotes")
install_github("cran/PartCensReg")

Install by package version:
library("remotes")
install_version("PartCensReg", "1.39")



Attach the package and use:
library("PartCensReg")
Maintained by
Marcela Nunez Lemus
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-05
Latest Update: 2018-03-08
Description:
It estimates the parameters of a partially linear regression censored model via maximum penalized likelihood through of ECME algorithm. The model belong to the semiparametric class, that including a parametric and nonparametric component. The error term considered belongs to the scale-mixture of normal (SMN) distribution, that includes well-known heavy tails distributions as the Student-t distribution, among others. To examine the performance of the fitted model, case-deletion and local influence techniques are provided to show its robust aspect against outlying and influential observations. This work is based in Ferreira, C. S., & Paula, G. A. (2017) but considering the SMN family.
How to cite:
Marcela Nunez Lemus (2018). PartCensReg: Estimation and Diagnostics for Partially Linear Censored Regression Models Based on Heavy-Tailed Distributions. R package version 1.39, https://cran.r-project.org/web/packages/PartCensReg
Previous versions and publish date:
1.38 (2018-01-05 19:28)
Other packages that cited PartCensReg R package
View PartCensReg citation profile
Other R packages that PartCensReg depends, imports, suggests or enhances
Functions, R codes and Examples using the PartCensReg R package
Some associated functions: Cens.SMN.PCR . PartCensReg-package . 
Some associated R codes: Cens.SMN.PCR.R . Diagnostic_SMN_PCR.R . EM_SMN_PCR.R . utils_SMN.R .  Full PartCensReg package functions and examples
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