Package: mpmsim 3.3.0

mpmsim: Simulation of Matrix Population Models with Defined Life History Characteristics

Allows users to simulate matrix population models with particular characteristics based on aspects of life history such as mortality trajectories and fertility trajectories. Also allows the exploration of sampling error due to small sample size.

Authors:Owen Jones [aut, cre]

mpmsim_3.3.0.tar.gz
mpmsim_3.3.0.zip(r-4.7)mpmsim_3.3.0.zip(r-4.6)mpmsim_3.3.0.zip(r-4.5)
mpmsim_3.3.0.tgz(r-4.6-any)mpmsim_3.3.0.tgz(r-4.5-any)
mpmsim_3.3.0.tar.gz(r-4.7-any)mpmsim_3.3.0.tar.gz(r-4.6-any)
mpmsim_3.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mpmsim/json (API)

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

Bug tracker:https://github.com/jonesor/mpmsim/issues

Pkgdown/docs site:https://jonesor.github.io

On CRAN:

Conda:

5.39 score 5 stars 11 scripts 487 downloads 17 exports 83 dependencies

Last updated from:40c5b0a4c4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK177
source / vignettesOK248
linux-release-x86_64OK165
macos-release-arm64OK150
macos-oldrel-arm64OK180
windows-develOK140
windows-releaseOK97
windows-oldrelOK162
wasm-releaseOK128

Exports:add_mpm_errorcalculate_errorscompute_cicompute_ci_Udriven_vital_ratemake_leslie_mpmmodel_fecunditymodel_fertilitymodel_mortalitymodel_reproductionmodel_survivalplot_matrixrand_lefko_mpmrand_lefko_setrand_leslie_setreorganise_matricessummarise_mpms

Dependencies:base64encbitbit64bslibcachemclicliprcodacpp11crayonDiagrammeRdigestdplyrevaluateexpmfarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemimepillarpkgconfigplyrpopbiopopdemoprettyunitsprogresspurrrquantregR6RagerappdirsRColorBrewerRcompadreRcppreadrreshaperlangrmarkdownrstudioapiS7sassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml

Generating Leslie models
Introduction | Aims | Preparation | 1. Functional forms of mortality and reproduction | 2. Trajectories of mortality and reproductive output, and production of life tables | 3. From life table to MPM | 4. Producing sets of MPMs based on defined model characteristics | Conclusion
Rendered fromgenerating_leslie_models.Rmdusingknitr::rmarkdown

Last update: 2025-07-01
Started: 2024-10-12

Generating Lefkovitch models
Introduction | Aims | Preparation | 1. Life cycle archetypes and generating an MPM | 2. Generate a random Lefkovitch MPM based on an archetype | 3. Generate sets of Lefkovitch matrices | 4. Constraining the output matrices | Conclusion
Rendered fromgenerating_lefkovitch_models.Rmdusingknitr::rmarkdown

Last update: 2025-03-06
Started: 2024-10-12

Sampling error and its propagation
Introduction | Aims | Estimate 95% Confidence Intervals | Sample sizes that vary across the MPM | Exploring the impact of sample size | Conclusion | Addendum
Rendered fromsampling_error_propagation.Rmdusingknitr::rmarkdown

Last update: 2025-03-06
Started: 2024-10-12