Metapopulation Simulations for Conserving Salmon Through Portfolio Optimization

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Documentation for package ‘metafolio’ version 0.1.2

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

Help Pages

metafolio-package	metafolio: An R package to simulate metapopulations for portfolio optimization
add_dens_polygon	Add a kernel density polygon
annotate	Add annotations to panel
count_quasi_exts	Take 'meta_sim' output objects and count quasi extinctions
create_asset_weights	Create an asset weights matrix
custom_bw	Custom bandwidth
CVaR	Conditional Value at Risk
est_beta_params	Get beta parameters from mean and variance
fastlm	Super fast linear regression
fit_ricker	Fit Ricker linear regression
generate_env_ts	Create an environmental time series.
generate_straying_matrix	Generate a matrix of straying proportions within a metapopulation
get_conserv_plans_mv	Run simulation for conservation schemes
get_efficient_frontier	Get the efficient frontier from mean and variance values
get_port_vals	Get portfolio mean and variance values
get_quantile_contour	Get quantile contour
gg_color_hue	ggplot2-like colour scale in HCL space
impl_error	Add implementation error
is_element	Check if x is an element of y.
metafolio	metafolio: An R package to simulate metapopulations for portfolio optimization
metasim_base	Base-level metapopulation simulation function
meta_sim	Run a single metapopulation simulation.
monte_carlo_portfolios	Monte Carlo asset weights into portfolios
my.axis	Add a pretty axis
optim_thermal	Optimize to find optimal max productivity Ricker a
plot_cons_plans	Plot conservation plans in mean-variance space
plot_correlation_between_returns	Plot correlation of returns (i.e. metapopulation abundance) across stocks.
plot_efficient_portfolios	Basic plot of efficient portfolio and asset contributions
plot_panel_lines	Standard matrix plot of values by stream for one panel:
plot_rickers	Plot sample Ricker curves for each stock
plot_sim_ts	Plot various time series from a simulation run
plot_sp_A_ts	Plot sample time series from a portfolio simulation
ricker	A simple Ricker model
ricker_escapement	Assign a salmon escapement target based on a Ricker curve
ricker_v_t	Ricker stock-recruit function with specified error
run_cons_plans	Run conservation plans and return the portfolio mean and variance values
thermal_area	Return desired squared deviation between desired area and actual area under a curve
thermal_curve_a	Create thermal tolerance curves.
thermal_integration	Integrate thermal tolerance curves to get maximum Ricker a values
VaR	Value at Risk