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Tools for Autoregressive Conditional Duration Models

1packages depend
5.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides tools for autoregressive conditional duration (ACD, Engle and Russell, 1998) models. Functions to create trade, price, or volume durations from transaction data, perform diurnal adjustments, fit various ACD models, and test them.

Changes in 1.1.0
  • Added the following models for acdFit(): EXACD, AACD, BCACD, TACD, TAMACD.
  • Added optimization with analytical derivatives in acdFit(). Works for all models, but currently only with dist = "exponential" and not with exogenous variables.
  • Added support for broom::tidy and broom::glance.
  • Fixed a bug that prevented exogenous variables from being used with any distribution other than the exponential (thanks to Mark Rotter for pointing this out).
  • Fixed a minor bug in plotLL().
  • Fixed a bug in diurnalAdj() where method = "FFF" with aggregation = "all" previously returned the deterministic part instead of the adjusted durations.
  • Fixed a bug in predict.acdFit()—previously, predictions could only be made from a fitted ACD(1,1) model with exponential errors (thanks to Renova for pointing this out).
  • Fixed a bug in rgengamma() (thanks to Steinar Veka for pointing this out).

From inst/NEWS.Rd in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.0 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
Show 5 earlier changesHide 5 earlier changes
  • NOTE13 OK, 1 NOTE2026-04-22
  • ERROR12 OK, 1 NOTE, 1 ERROR2026-04-18
  • NOTE13 OK, 1 NOTE2026-03-13
  • ERROR12 OK, 1 NOTE, 1 ERROR2026-03-12
  • NOTE13 OK, 1 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMENoVignettesNoNEWSYes · mentions 1.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
27includes a package overview page
Examples that run
63%10 run in a plain check · 6 never run
Exported functions with examples
67%
Documented parameters
76%
Return-value docs
46%
Help pages citing references
33%

Downloads

5.2K
CRAN downloads in the past year
Rank #5,720 · ~14/day · ~434/mo
Daily download trend is not available in this view yet.
54030 days
1.4K90 days
5.2K1 year
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Also on420 r2u29 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing ACDm adds 44 packages (24 with compiled code, 34 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.0.2
LinkingTo (1)
Suggests (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 1.0.2 (2015)
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0Latest
    record
    2025-07-16 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.4.3
    record
    2024-02-20 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.4.2
    record
    2022-11-16 · diff ↗
  • 1.0.4.1
    record
    2022-07-08 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0.4
    record
    2016-07-16 · diff ↗ ·
    added 1 export
    plotLL
  • R
    R 3.3.0 released · 2016-05-03
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Package metadata

First published
2015-07-16
Total releases
7 / 11 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.0.2
Bundled data
957 KB / 4 files
Download size
1.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ACDm")
Belfrage, M. (2025). ACDm: Tools for Autoregressive Conditional Duration Models (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ACDm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 ACDm version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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