R Observatory: Metrics for gmsp version 0.7.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

gmsp

0.7.1Package record

Ground Motion Signal Processing

0packages depend

1.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Alejandro Verri KozlowskiCRAN page ↗Website ↗

Implements short-time Fourier transform (STFT) based processing of strong-motion time series: time-grid regularisation, STFT-window and anti-alias-resampling strategy selection, edge tapering, and frequency-domain integration and differentiation, mapping a single input (acceleration, velocity, or displacement) to a consistent triplet under a chosen analysis bandwidth. Also provides intrinsic-mode-function decomposition via empirical mode decomposition (EMD), ensemble EMD (EEMD), and variational mode decomposition (VMD) with optional band-rule filtering; elastic single-degree-of-freedom (SDOF) domain-normalised acceleration, velocity, and displacement response spectra from their corresponding time-series domains by exact state-space integration; intensity measures including peak, root-mean-square (RMS), Arias intensity, significant-duration, cumulative absolute velocity, mean period, and the derived indices earthquake destructiveness potential (EPI) and power-of-input (PDI); and D50 and D100 horizontal response spectra. Methods: Huang et al. (1998) doi:10.1098/rspa.1998.0193, Wu and Huang (2009) doi:10.1142/S1793536909000047, Dragomiretskiy and Zosso (2014) doi:10.1109/TSP.2013.2288675, Boore (2010) doi:10.1785/0120090179. An optional indexing layer parses provider files in formats including 'PEER' 'NGA-West2' 'AT2', 'CESMD' 'V2'/'V2c', 'NWZ' 'V2A', Geological Survey of Canada 'TR', 'IGP'/'UCR' 'AC' variants, and generic two-column ASCII text, normalises components, writes per-record CSV (comma-separated values) and JSON (JavaScript Object Notation) pairs, and computes per-record intensity tables.

Changes in 0.7.1

Corrected domain normalisation in TSL2PS()

TSL2PS() now applies the normalised SDOF operator omega_n^2 H_d independently to acceleration (AT), velocity (VT), and displacement (DT). PSA, PSV, and SD therefore retain acceleration, velocity, and displacement units, respectively.
PSA is bit-for-bit unchanged. The positive-period PSV and SD ordinates are corrected incompatibly; Tn = 0 PGA/PGV/PGD anchors, table schemas, metadata, D50/D100, and scalar/vector damping interfaces are unchanged.
The spectral-matching selection, modal loss, and suite scaling continue to consume PSA only and therefore produce the same decisions and factors. Existing full PSW.csv products must be regenerated before republishing PSV or SD values. No legacy mode or fallback is provided.

Show all changes in 0.7.1Hide the rest of the changes in 0.7.1

Spectral-match algorithm graduated to the exported API

New fitModalFactor(): per-record modal shaping (released modal amplitudes fitted against the target band, energy restoration after the modal objective) — the algorithm behind shape.modalFactor in the match JSON contract.
New fitRecordFactor(): suite-level record scaling (bounded QP solve, one scale coefficient per record, global band-conditioned objective) — the algorithm behind shape.recordFactor.
New matchCompatibility(): per-record and suite compatibility diagnostics of the scaled spectra against the target band.
scripts/match/setup.R now delegates the algorithm core to these functions and keeps only orchestration and product materialization. Pipeline products are byte-identical to 0.6.0 (Tier-2 identity harness: per-record, suite, and full-pipeline stages).
No JSON contract change; stage.csv keeps its frozen product labels.

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("gmsp", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-gmsp

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-gmsp

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-gmsp

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.2 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK8 OK2026-06-19

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.7.1

READMEYes · 466 wordsVignettesYes · 8 · dynamicNEWSYes · 100% structured · mentions 0.7.1Citation fileYes · computed when R runs itWebsiteYes

Help pages: 47 (2 internal)includes a package overview page
Examples that run: 91%41 run in a plain check · 4 never run
Exported functions with examples: 100%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (8)

How these are measured

Downloads

1.1K

CRAN downloads in the past year

Rank #19,670 · ~3/day · ~93/mo

Releases R versions

Daily download trend is not available in this view yet.

26330 days

67190 days

1.1K1 year

Compare downloads with other packages →

Also on21 r2u4 autocran

How downloads are counted

Repository

averrik/gmsp ↗

Responsiveness

not measured

How these are measured

PracticesBeta

Repository github.com/averrik/gmsp is linked, but repository-practices checks have not run for it yet.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Installing gmsp adds 37 packages (26 with compiled code, 44 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, fields 3.9 MB.

Depends (1)

R >= 4.1.0

Imports (16)

data.table digest EMD expm hht jsonlite openssl pracma purrr seewave signal spectralstatsstringrutilsVMDecomp

LinkingTo (0)

none

Suggests (5)

knitrMatrixosqp rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Alejandro Verri Kozlowski

Releases (2)

Pick two releases to compare their code metrics.

0.7.1Latest
record
2026-06-18 · current release · diff ↗ ·
removed 2 exports
buildMaster, rotateComponents

added 16 exports
TSL2AI, TSL2CAV, TSL2CAV5, fitModalFactor, fitRecordFactor, matchCompatibility, runExport, runGMSP, runIMF, runMatch, runPSA, runPlot, runProcess, runSelect, runStage0, runTrim
0.4.6
record
2026-06-18
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-18
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 369 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gmsp")

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for gmsp version 0.7.1 [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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