R Observatory: Metrics for realTimeloads version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

realTimeloads

1.0.0Package record

Analyte Flux and Load from Estimates of Concentration and Discharge

0packages depend

2.4Kdownloads / year

–test coverage

12/13flavors OK

Overview

About

Maintained by Daniel LivseyCRAN page ↗

Flux (mass per unit time) and Load (mass) are computed from timeseries estimates of analyte concentration and discharge. Concentration timeseries are computed from regression between surrogate and user-provided analyte. Uncertainty in calculations is estimated using bootstrap resampling. Code for the processing of acoustic backscatter from horizontally profiling acoustic Doppler current profilers is provided. All methods detailed in Livsey et al (2020) doi:10.1007/s12237-020-00734-z, Livsey et al (2023) doi:10.1029/2022WR033982, and references therein.

Changes in 1.0.0

First release to CRAN.

From NEWS.md in the release

Install

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

install.packages("realTimeloads", 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-realtimeloads

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-realTimeloads

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-realTimeloads

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

1ERROR12OK

Check messages

ERRORexamplesr-oldrel-macos-arm64

Running examples in ‘realTimeloads-Ex.R’ failed
The error most likely occurred in:

> ### Name: impute_data
> ### Title: Returns x with gaps imputed using ARIMA and Decision Trees,
> ###   optional uncertainty estimation using Monte Carlo resampling
> ### Aliases: impute_data
> 
> ### ** Examples
> 
> # Impute non-tidal data
> time <- realTimeloads::ExampleData$Sediment_Samples$time
> xo <- realTimeloads::ExampleData$Sediment_Samples$SSCxs_mg_per_liter
> Q <- realTimeloads::ExampleData$Discharge$Discharge_m_cubed_per_s
> idata <- sample(1:length(xo),round(length(xo)*0.5),replace=FALSE)
> x <- rep(NA,length(xo))
> x[idata] <- xo[idata] # simulated samples
> flow_concentrtion_ratio <- imputeTS::na_interpolation(Q/x)
> Xreg <- cbind(Q,flow_concentrtion_ratio)
> Output <- impute_data(time,x,Xreg,MC = 10,ptrain = 0.8)
Error in optim(init[mask], getLike, method = "L-BFGS-B", lower = rep(0,  : 
  L-BFGS-B needs finite values of 'fn'
Calls: impute_data -> <Anonymous> -> <Anonymous> -> optim
Execution halted

CRAN check page ↗

Slowest check: 3.6 min · r-oldrel-windows-x86_64

Status changes

ERROR12 OK, 1 ERRORNow
ERROR11 OK, 3 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 295 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 18 (1 internal)includes a package overview page
Examples that run: 63%10 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 89%

Vignettes (1)

realTimeloads HTML

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #21,373 · ~7/day · ~199/mo

Releases R versions

Daily download trend is not available in this view yet.

22030 days

62790 days

2.4K1 year

Compare downloads with other packages →

Also on65 r2u8 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing realTimeloads adds 85 packages (51 with compiled code, 70 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 2.10

Imports (8)

data.tablegraphicsimputeTS mice signalstatsTideHarmonicsutils

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Daniel Livsey

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.0Latest
record
2023-10-18 · current release
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-10-18
Total releases: 1 / 3 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 2.10
Bundled data: 551 KB / 1 file
Download size: 1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("realTimeloads")

Format

Livsey, D. (2023). realTimeloads: Analyte Flux and Load from Estimates of Concentration and Discharge (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.realTimeloads

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for realTimeloads version 1.0.0 [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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