analyzeBootstrappedMatrixPopModels: Analyze Bootstrapped Matrix Population Models

In ksauby/GTMNERRproc: Data processing functions for GTMNERR data.

Description

Analyze multiple matrix population models, allowing for a seed bank and clonal reproduction. If a boostrap population cannot be analyzed, it is not added to the dataset (or is listed as NAs for all values).

Usage

analyzeBootstrappedMatrixPopModels(trans_data, clonal_repro_dataset, SizeClass,
  TransitionYear, SeedSurvival, SeedBankSize, SeedsPerFruit, n.iter = 1000,
  n_bootstraps = 5)

Arguments

trans_data	dataset from which to create growth/retrogression/survival/fecundity transition matrix
SizeClass	A vector containing the size breaks with which to create stages based on size.
SeedSurvival	Rate at which seeds survive (i.e., rate at which seeds remain in seed stage). Can be a single value or vector of values.
SeedBankSize	Number of seeds in the seed bank (can be a single value or vector of values).
SeedsPerFruit	Average number of seeds produced per fruit (can be a single value or vector of values).
n.iter	Number of iterations for pop.projection function. Default value is 1000.
clone_transition	clonal reproduction transition matrix

Value

Returns a list including:

• the growth/retrogression/survival/fecundity transition matrix and clonal reproduction transition matrix for each matrix population model analysis

• the results of the matrix population model analysis, including repro. values for each stage, the stable stage distribution, sensitivities, elasticities, lambda, the damping ratio, the seed bank size, the number of seeds assumed per fruit, and the seed survival rate (the rate at which seeds stay in the seed stage from one year to the next).

ksauby/GTMNERRproc documentation built on May 20, 2019, 6:42 p.m.