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dLagM

1.1.13Package record

Time Series Regression Models with Distributed Lag Models

0packages depend
11.6Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Provides time series regression models with one predictor using finite distributed lag models, polynomial (Almon) distributed lag models, geometric distributed lag models with Koyck transformation, and autoregressive distributed lag models. It also consists of functions for computation of h-step ahead forecasts from these models. See Demirhan (2020)(doi:10.1371/journal.pone.0228812) and Baltagi (2011)(doi:10.1007/978-3-642-20059-5) for more information.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Haydar Demirhan <haydar.demirhan@rmit.edu.au>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Haydar",
                    family = "Demirhan",
                    role = c("aut", "cre", "cph"),
                    email = "haydar.demirhan@rmit.edu.au",
                    comment = c(ORCID = "0000-0002-8565-4710"))
as necessary.

CRAN check page ↗

Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.13
READMEYes · 39 wordsVignettesNoNEWSYes · 67% structured · does not mention 1.1.13Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
18includes a package overview page
Examples that run
53%9 run in a plain check · 6 never run · 2 hold no code
Exported functions with examples
92%
Documented parameters
95%
Return-value docs
83%
Help pages citing references
78%

Downloads

11.6K
CRAN downloads in the past year
Rank #4,198 · ~32/day · ~966/mo
Daily download trend is not available in this view yet.
79630 days
2.1K90 days
11.6K1 year
Compare downloads with other packages →
Also on95 r2u5 autocran139 c2d4u

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing dLagM adds 79 packages (44 with compiled code, 64 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (5)
R >= 3.6.0graphicsstatsnardldynlm
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)
Author, Maintainer since 0.0.7 (2017), Copyright holder
Releases (24)

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Package metadata

First published
2017-08-08
Total releases
24 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.0
Bundled data
32 KB / 5 files
Download size
74 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dLagM")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dLagM version 1.1.13 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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