exactLTRE
0.1.2An Exact Method for Life Table Response Experiment (LTRE) Analysis
Overview
Life Table Response Experiments (LTREs) are a method of comparative demographic analysis. The purpose is to quantify how the difference or variance in vital rates (stage-specific survival, growth, and fertility) among populations contributes to difference or variance in the population growth rate, "lambda." We provide functions for one-way fixed design and random design LTRE, using either the classical methods that have been in use for several decades, or an fANOVA-based exact method that directly calculates the impact on lambda of changes in matrix elements, for matrix elements and their interactions. The equations and descriptions for the classical methods of LTRE analysis can be found in Caswell (2001, ISBN: 0878930965), and the fANOVA-based exact methods are described in Hernandez et al. (2023) doi:10.1111/2041-210X.14065. We also provide some demographic functions, including generation time from Bienvenu and Legendre (2015) doi:10.1086/681104. For implementation of exactLTRE where all possible interactions are calculated, we use an operator matrix presented in Poelwijk, Krishna, and Ranganathan (2016) doi:10.1371/journal.pcbi.1004771.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0812 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 2.5 median / 11 max
- Documented parameters
- 100%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
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Functions
22 22 exported
Complexity
3.8 avg / 11 max
Call network
22 nodes / 33 edges
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People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.02022-11-17
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-11-17
- Total releases
- 2 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 3.1 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet