R: Simulation of Matrix Population Models with Defined Life History Characteristics

# Simulation of Matrix Population Models with Defined Life History Characteristics

## Documentation for package ‘mpmsim’ version 3.3.0

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

## Help Pages

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
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
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