Package: rtrim 2.3.0

Patrick Bogaart

rtrim: Trends and Indices for Monitoring Data

The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d> for more information about TRIM.

Authors:Patrick Bogaart [aut, cre], Mark van der Loo [aut], Jeroen Pannekoek [aut], Statistics Netherlands [cph]

rtrim_2.3.0.tar.gz
rtrim_2.3.0.zip(r-4.7-any)rtrim_2.3.0.zip(r-4.6-any)rtrim_2.3.0.zip(r-4.5-any)
rtrim_2.3.0.tgz(r-4.6-any)rtrim_2.3.0.tgz(r-4.5-any)
rtrim_2.3.0.tar.gz(r-4.7-any)rtrim_2.3.0.tar.gz(r-4.6-any)
rtrim_2.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rtrim/json (API)

# Install 'rtrim' in R:
install.packages('rtrim', repos = c('https://snstatcomp.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/snstatcomp/rtrim/issues

On CRAN:

Conda:

6.93 score 11 stars 1 packages 86 scripts 503 downloads 1 mentions 18 exports 0 dependencies

Last updated from:a0dbbb5cf3. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING152
source / vignettesOK214
linux-releaseWARNING152
macos-releaseWARNING154
macos-oldrelWARNING195
windows-develWARNING104
windows-releaseWARNING86
windows-oldrelWARNING136
wasm-releaseOK107

Exports:check_observationscount_summarygofheatmapindexnow_whatoveralloverdispersionread_tcfread_tdfresultsserial_correlationset_trim_verbosetotalstrendlinestrimtrimcommandwald

Dependencies:

rtrim 2.0 extensions
Introduction | Monthly data | Comparison with UIndex | UIndex | rtrim | Stratified rtrim | Taming overdispersion | Output visualization | Plotting time-totals | Plotting indices | Indices and covariates | Combining multiple indices | Adding confidence intervals. | Long output | "Scaled" standard errors | Plotting heatmaps. | Heatmaps for monthly datasets | References
Rendered fromrtrim_2_extensions.Rmdusingknitr::rmarkdown

Last update: 2024-11-09
Started: 2017-12-29

rtrim by example
Introduction | Initial model estimation | Covariates | Model simplification | Indices and time-totals | Multiple covariates | Weighting
Rendered fromSkylark_example.Rmdusingknitr::rmarkdown

Last update: 2022-06-09
Started: 2016-11-11

rtrim confidence intervals
Introduction | Example: normal distribution | TRIM without overdispersion: Poisson distribution | Poisson-Gamma equivalence | Multipliers | Taking overdispersion into account | Confidence intervals for indices
Rendered fromrtrim_confidence_intervals.Rmdusingknitr::rmarkdown

Last update: 2022-06-09
Started: 2018-03-09

rtrim for TRIM3 users
Introduction | Computing TRIM models | Model specification | TRIM Command Files | TRIM data files | Utility functions
Rendered fromrtrim_for_TRIM_users.Rmdusingknitr::rmarkdown

Last update: 2022-06-09
Started: 2016-08-08

Models and statistical methods in rtrim
Rendered fromTRIM_methods_v2.pdf.asisusingR.rsp::asis

Last update: 2021-11-04
Started: 2017-12-22

Taming overdispersion
Introduction | Overdispersion for clustered observations: the problem | Approach #1: average first, square later. | Approach #2: remove outliers (nonparametric) | Approach #3: remove outliers (parametric) | Application
Rendered fromtaming_overdispersion.Rmdusingknitr::rmarkdown

Last update: 2021-11-04
Started: 2017-12-21