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exactLTRE

0.1.2

An Exact Method for Life Table Response Experiment (LTRE) Analysis

0packages depend
2.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Christina HernandezFirst published 2022-11-172 releasesCRAN page ↗

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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Health

CRAN checks
13OK
Slowest check: 1.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
None
Vignettes
Yes
README
2
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Check history
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-06-08
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
R 1,387 (57%)Rd 1,047 (43%)
Code characteristics
Cyclomatic complexity
2.5 median / 11 max
Documented parameters
100%

Test coverage

Line coverage

Expression

Tests / Examples

Functions

22 22 exported

Complexity

3.8 avg / 11 max

Call network

22 nodes / 33 edges

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People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Release timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    2025-06-29 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    2022-11-17
  • R
    R 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