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lefko3  

Historical and Ahistorical Population Projection Matrix Analysis
View on CRAN: Click here


Download and install lefko3 package within the R console
Install from CRAN:
install.packages("lefko3")

Install from Github:
library("remotes")
install_github("cran/lefko3")

Install by package version:
library("remotes")
install_version("lefko3", "6.6.0")



Attach the package and use:
library("lefko3")
Maintained by
Richard P. Shefferson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-03
Latest Update: 2025-05-01
Description:
Complete analytical environment for the construction and analysis of matrix population models and integral projection models. Includes the ability to construct historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices and raw and function-based Leslie matrices.
How to cite:
Richard P. Shefferson (2020). lefko3: Historical and Ahistorical Population Projection Matrix Analysis. R package version 6.6.0, https://cran.r-project.org/web/packages/lefko3. Accessed 04 Jun. 2026.
Previous versions and publish date:
2.2.2 (2020-08-03 10:30), 2.3.0 (2020-08-24 17:50), 2.4.2 (2020-09-17 10:20), 3.0.0 (2020-10-21 22:20), 3.1.0 (2020-11-12 08:30), 3.1.1 (2020-11-13 23:40), 3.1.2 (2020-11-16 09:00), 3.2.0 (2021-01-06 12:30), 3.3.1 (2021-02-23 10:50), 3.3.2 (2021-02-26 22:40), 3.4.0 (2021-04-02 17:20), 3.5.0 (2021-06-29 07:20), 3.5.2 (2021-07-12 17:40), 3.6.0 (2021-07-22 06:40), 3.7.0 (2021-08-18 11:30), 3.8.0 (2021-09-08 08:50), 4.0.1 (2021-11-16 08:50), 4.1.0 (2021-12-06 11:40), 4.1.1 (2021-12-07 08:50), 4.2.0 (2022-01-19 16:22), 5.0.1 (2022-03-08 13:40), 5.1.0 (2022-04-04 01:10), 5.2.0 (2022-05-18 11:20), 5.3.0 (2022-06-25 00:40), 5.4.2 (2022-08-09 10:50), 5.5.0 (2022-09-14 02:20), 6.0.0 (2023-03-28 03:10), 6.0.5 (2023-05-03 08:40), 6.1.0 (2023-07-15 01:50), 6.1.1 (2023-10-13 23:50), 6.1.3 (2023-11-30 10:30), 6.2.0 (2024-01-28 01:50), 6.2.1 (2024-02-24 08:50), 6.3.1 (2024-08-21 01:50), 6.3.2 (2025-01-07 22:50), 6.4.0 (2025-03-13 09:10), 6.5.0 (2025-05-02 00:10), 6.5.1 (2025-08-29 22:50), 6.6.0 (2025-10-28 07:10), 6.7.1 (2026-01-31 08:40), 6.7.2 (2026-02-11 07:10)
Other packages that cited lefko3 R package
View lefko3 citation profile
Other R packages that lefko3 depends, imports, suggests or enhances
Complete documentation for lefko3
Functions, R codes and Examples using the lefko3 R package
Some associated functions: actualstage3 . add_lM . add_stage . aflefko2 . anthyllis . append_lP . arlefko2 . beverton3 . cond_diff . cond_hmpm . create_lM . create_pm . cypdata . cypvert . delete_lM . density_input . density_vr . diff_lM . edit_lM . elasticity3.dgCMatrix . elasticity3.lefkoMat . elasticity3.list . elasticity3.matrix . elasticity3 . f_projection3 . flefko2 . flefko3 . fleslie . hfv_qc . hist_null . historicalize3 . image3.dgCMatrix . image3.lefkoElas . image3.lefkoMat . image3.lefkoSens . image3.list . image3.matrix . image3 . lambda3 . lathyrus . lefko3-package . lmean . logistic3 . ltre3 . markov_run . matrix_interp . modelsearch . mpm_create . overwrite . plot.lefkoProj . projection3 . pyrola . repvalue3.dgCMatrix . repvalue3.lefkoMat . repvalue3.list . repvalue3.matrix . repvalue3 . ricker3 . rlefko2 . rlefko3 . rleslie . sensitivity3.dgCMatrix . sensitivity3.lefkoMat . sensitivity3.list . sensitivity3.matrix . sensitivity3 . sf_create . sf_distrib . sf_skeleton . slambda3 . stablestage3.dgCMatrix . stablestage3.lefkoMat . stablestage3.list . stablestage3.matrix . stablestage3 . start_input . subset_lM . summary.lefkoCondMat . summary.lefkoElas . summary.lefkoLTRE . summary.lefkoMat . summary.lefkoMod . summary.lefkoProj . summary_hfv . supplemental . usher3 . verticalize3 . vrm_import . 
Some associated R codes: RcppExports.R . data.R . datamanag.R . errorchecks.R . lefko3-package.R . matrixcreation.R . modelselection.R . popchar.R . popdyn.R .  Full lefko3 package functions and examples
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