PartCensReg
Estimation and Diagnostics for Partially Linear Censored Regression Models Based on Heavy-Tailed Distributions
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) <doi:10.1080/02664763.2016.1267124> but considering the SMN family.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.39 |
rolling linux/jammy R-4.5 | PartCensReg_1.39.tar.gz |
90.3 KiB |
1.39 |
rolling linux/noble R-4.5 | PartCensReg_1.39.tar.gz |
90.2 KiB |
1.39 |
rolling source/ R- | PartCensReg_1.39.tar.gz |
17.4 KiB |
1.39 |
latest linux/jammy R-4.5 | PartCensReg_1.39.tar.gz |
90.3 KiB |
1.39 |
latest linux/noble R-4.5 | PartCensReg_1.39.tar.gz |
90.2 KiB |
1.39 |
latest source/ R- | PartCensReg_1.39.tar.gz |
17.4 KiB |
1.39 |
2026-04-26 source/ R- | PartCensReg_1.39.tar.gz |
17.4 KiB |
1.39 |
2026-04-23 source/ R- | PartCensReg_1.39.tar.gz |
17.4 KiB |
1.39 |
2026-04-09 windows/windows R-4.5 | PartCensReg_1.39.zip |
92.7 KiB |
1.39 |
2025-04-20 source/ R- | PartCensReg_1.39.tar.gz |
17.4 KiB |