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 |