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install.packages("exdqlm")
CRAN 30-day downloads, method
513−20% down on the 30 days before, the worse direction
Test coverage, method
87%of lines run by tests

Bayesian quantile-regression routines for dynamic state-space models and static regression under the extended asymmetric Laplace (exAL) error distribution. The dynamic state-space models are extended dynamic quantile linear models (exDQLMs).

Full description

Bayesian quantile-regression routines for dynamic state-space models and static regression under the extended asymmetric Laplace (exAL) error distribution. The dynamic state-space models are extended dynamic quantile linear models (exDQLMs). The package combines dynamic exDQLM inference via Laplace-delta variational Bayes (LDVB), Markov chain Monte Carlo (MCMC), and legacy importance-sampling variational Bayes (ISVB) with static exAL regression via LDVB and MCMC, reduced asymmetric Laplace/dynamic quantile linear model (AL/DQLM) paths through fixed skewness, component builders for trend/seasonality/regression blocks, static shrinkage priors including ridge, regularized horseshoe, and 'rhs_ns', evidence lower bound (ELBO) diagnostics, optional C++ accelerators, and posterior predictive synthesis across separately fitted quantiles through 'quantileSynthesis()'. Dynamic exDQLM methods are described in Barata et al. (2020) <doi:10.1214/21-AOAS1497>.

Maintainer
Raquel Barata
Latest release
16 Sep 2026
First release
18 Jun 2021

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More details
Releases
11
Needs compilation
Yes
Needs R
>= 3.5
Config/roxygen2/version
8.0.0
Config/testthat/edition
3
LazyData
true
SystemRequirements
C++17; OpenMP (optional)
Subjects (1) Method, Subjects
Cite

Package

Run in R for the authors' preferred citation:

citation("exdqlm")
APA
Barata, R., Aguirre, A., Prado, R., & Sanso, B. (2026). exdqlm: Extended Dynamic Quantile Linear Models (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.exdqlm
About

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

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 exdqlm version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-10-28. https://doi.org/10.5281/zenodo.21843040
About

From data release v2026-10-28, which the citation names so these numbers can be found later.

All 13 check platforms pass.

  • r-devel-linux-x86_64-debian-clang

    The unreleased R on Linux, x86_64, debian-clang

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    Version checked
    1.1.2
    Time taken
    358 s
  • r-devel-linux-x86_64-debian-gcc

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    1.1.2
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  • r-devel-linux-x86_64-fedora-clang

    The unreleased R on Linux, x86_64, fedora-clang

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    1.1.2
    Time taken
    239 s
  • r-devel-linux-x86_64-fedora-gcc

    The unreleased R on Linux, x86_64, fedora-gcc

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    1.1.2
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  • r-devel-windows-x86_64

    The unreleased R on Windows, x86_64

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    1.1.2
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    The previous release of R on macOS, arm64

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    1.1.2
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    The previous release of R on macOS, x86_64

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    1.1.2
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    264 s
  • r-oldrel-windows-x86_64

    The previous release of R on Windows, x86_64

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    1.1.2
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  • r-patched-linux-x86_64

    The patched release of R on Linux, x86_64

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    1.1.2
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    The current release of R on Linux, x86_64

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    1.1.2
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    The current release of R on macOS, arm64

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    1.1.2
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    68 s
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    The current release of R on macOS, x86_64

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    1.1.2
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    The current release of R on Windows, x86_64

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    1.1.2
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  • 13 OK

Over time

No change since 5 Sep 2026

As a list (6)
ChangedWorst statusOKNotesWarningsErrors
5 Sep 2026OK13000
11 Jul 2026Note12100
25 Apr 2026OK12000
22 Apr 2026Note12200
18 Apr 2026Error11201
10 Mar 2026Note12200

Since March 2026

Check results on CRAN

Total downloads in the last 30 days
535−22.1% down on the 30 days before, the worse directionIt is the sum of 3 channels: CRAN, r2u and autoCRAN.

CRAN rank

6,006 of 26,530

CRAN

513 downloads in the last 30 days

Rank
6,006 of 26,530
Change
−20% down on the 30 days before, the worse direction

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r2u

21 downloads in the last 30 days

Rank
4,620 of 30,526
Change
−30% down on the 30 days before, the worse direction

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autoCRAN

1 downloads in the last 30 days

Rank
25,688 of 29,212
Change
−93.8% down on the 30 days before, the worse direction

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Over time

Compare downloads

Needs
17
Dependent packages
0
Suggested by
0
Needs (17)
Installing it adds
36 packages, 39.8 MB of source
Of those, need compilation
19
Optional extras (5)
Functions
407
Public exports
46
Lines of R code
19,475
Median complexity
3
Functions (407)
Size and composition

Lines by kind (32,498)

KindLinesShare
R code19,47560%
Tests5,75518%
Documentation5,03415%
Compiled code2,2347%

Lines by language

LanguageLinesShare
R25,23078%
Rd5,03416%
C++2,1847%
C500.2%

Languages are counted from file extensions.

Files
206
R functions
313
Compiled functions
95
Object systems
S3: 42 methods
Complexity
Median
3
Mean
10.14
Highest
381
Median lines per function
12
About complexity

Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.

Call graph figures
R functions
313
Calls
543
Unconnected
32
Groups
10
Growth (11 releases)
Total lines by release
2,636 on 18 Jun 202132,498 on 16 Sep 2026
Release changes

The tests ran and coverage was measured.

Lines run by tests
86.7%
Expressions run by tests
83%
Test cases
152
Exports named in tests
87%
Coverage by file (38)
Coverage run
Lines counted
12,866
Lines the tests ran
11,285
Tests passed
Yes
Measured with
covr 3.6.5 on R 4.6.1
Test suite
Has tests
Yes
Test frameworks
testthat
Test cases
152
Lines of tests
5,755
Test lines per line of code
0.3
Exports documented
100%
Arguments documented
94.5%
Return value documented
71.7%
Help pages with examples
47.3%
Examples run in checks
20.5%
Other documentation
README
Yes, 2,109 words
Release notes file
Yes
Help pages
93
Lines of documentation
5,034
DatasetSizeColumns
BTflowMonthly streamflow at the Big Trees gaugelength 471
ELIanomsDaily time-series of ELI anomalies.length 14,965
climateIndicesMonthly climate indices for streamflow examples516 × 3date, noi, amo
scIVTmagTime series of daily average magnitude IVT in Santa Cruz, CA.length 14,965

AntonioAPDL / exdqlm on github.com

Stars
0
Forks
0
Open issues
0
Last commit
12 Sep 2026
Activity
Commits
–
Open pull requests
5
Tagged releases
0
Latest tagged release
–
Issues closed in
–
Pull requests closed in
–
Pull requests merged
–
Created
9 Sep 2025
Licence file reads as
–
Development practices (5)
KindFound
Continuous integrationGitHub Actions, R CMD check workflow
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Docs sourceREADME.Rmd
CRAN release processcran-comments.md
Lint, format, editorRStudio project

Method, repository practices

Across AntonioAPDL

R releases
  • On CRAN
  • Archived
  • Release
0.3.01.0.01.1.2BackArchivedArchivedArchived and back

Archived and back

ArchivedBackCRAN's reasonKind
23 Oct 202216 Feb 2023requires archived package 'dlm'Needs an archived package
VersionReleasedR
1.1.2 current16 Sep 20264.6.1
1.1.128 Aug 20264.6.1
1.1.09 Jul 20264.6.1
1.0.04 Jun 20264.6.0
0.4.04 May 20264.6.0
0.3.07 Feb 20264.5.2
0.2.012 Jan 20264.5.2
0.1.411 Sep 20254.5.1
Earlier versions (3)
VersionReleasedREvents
0.1.316 Feb 20234.2.2Back on CRAN 16 Feb 2023
0.1.220 Jul 20214.1.0Archived 23 Oct 2022
“requires archived package 'dlm'”
0.1.118 Jun 20214.1.0
Release notes (1.1.2)

Reproducibility fix

  • Changed the stochastic state simulation step in the fast C++ dynamic MCMC FFBS backend to use a Cholesky covariance square root rather than an SVD covariance square root. This avoids platform-dependent SVD bases in fixed-seed multivariate-normal state draws while preserving the same Gaussian smoothing target.
  • Added a direct multistate C++ FFBS repeatability test and extended the fresh-process repeatability test to cover that path.
  • Added a manual GitHub Actions diagnostic that runs the same FFBS and small fast-MCMC probes on Linux, macOS, and Windows, then compares the numerical artifacts across operating systems.