Simulation of Matrix Population Models with Defined Life History Characteristics

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Documentation for package ‘mpmsim’ version 3.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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add_mpm_error	Add sampling error to matrix population models (MPMs) based on expected values of transition rates and sample sizes
calculate_errors	Calculate error (standard error or 95%CI) in elements of a matrix population model.
compute_ci	Compute 95% confidence intervals for derived estimates from a matrix population model
compute_ci_U	Compute 95% confidence intervals for derived estimates from the U submatrix of a matrix population model
driven_vital_rate	Calculate driven vital rates
generate_mpm_set	Generate lists of Lefkovitch matrix population models (MPMs) based on life history archetypes
make_leslie_mpm	Create a Leslie matrix population model
model_fecundity	Model reproductive output with age using set functional forms
model_fertility	Model reproductive output with age using set functional forms
model_mortality	Model mortality hazard, survivorship and age-specific survival probability using a mortality model
model_reproduction	Model reproductive output with age using set functional forms
model_survival	Model mortality hazard, survivorship and age-specific survival probability using a mortality model
plot_matrix	Plot a matrix as a heatmap
random_mpm	Generate random Lefkovitch matrix population models (MPMs) based on life history archetypes
rand_lefko_mpm	Generate random Lefkovitch matrix population models (MPMs) based on life history archetypes
rand_lefko_set	Generate lists of Lefkovitch matrix population models (MPMs) based on life history archetypes
rand_leslie_set	Generate a set of random Leslie Matrix Population Models
reorganise_matrices	Reorganise Matrix Population Models
summarise_mpms	Summarise Matrix Population Models