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lqr
View on CRAN: Click
here
Download and install lqr package within the R console
Install from CRAN:
install.packages("lqr")
Install from Github:
library("remotes")
install_github("cran/lqr")
Install by package version:
library("remotes")
install_version("lqr", "5.2")
Attach the package and use:
library("lqr")
Maintained by
Christian E. Galarza
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-06
Latest Update: 2022-08-15
Description:
It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. Missing values and censored observations can be handled as well. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Galarza et.al.(2020) . It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.
How to cite:
Christian E. Galarza (2015). lqr: Robust Linear Quantile Regression. R package version 5.2, https://cran.r-project.org/web/packages/lqr. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2015-11-06 08:11), 1.1 (2015-12-09 21:44), 1.2 (2016-04-25 08:59), 1.3 (2016-05-07 09:09), 1.5 (2016-05-19 05:46), 1.7 (2018-02-01 17:13), 2.0 (2020-01-09 17:30), 2.11 (2020-05-03 00:10), 3.31 (2020-10-13 10:50), 3.41 (2021-03-08 14:52), 3.43 (2021-03-22 06:40), 4.0 (2021-10-05 21:40), 4.1 (2022-03-22 17:20), 5.0 (2022-08-15 10:30), 5.1 (2024-06-28 18:20)
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Other R packages that lqr depends,
imports, suggests or enhances
Complete documentation for lqr
Functions, R codes and Examples using
the lqr R package
Some associated functions: Egig . SKD . ais . best.lqr . cens.lqr . dist.Truncated . logbestlqr . loglqr . lqr-package . lqr . resistance .
Some associated R codes: EM2.R . EMonly.R . Egig.R . FUNCTION.R . auxiliar.R . bestlqr.R . bestlqrrange.R . cens_EM2.R . cens_probs.R . logbestlqr.R . loglqr.R . lqr.print.R . pdqr.R . Full lqr package functions and examples
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