Last data update: 2014.03.03

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Results 1 - 10 of 40 found.
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fastlm (Package: metafolio) : Super fast linear regression

Super fast linear regression
● Data Source: CranContrib
● Keywords:
● Alias: fastlm
● 0 images

my.axis (Package: metafolio) : Add a pretty axis

Add a pretty axis
● Data Source: CranContrib
● Keywords:
● Alias: my.axis
● 0 images

get_quantile_contour (Package: metafolio) : Get quantile contour

Get quantile contour
● Data Source: CranContrib
● Keywords:
● Alias: get_quantile_contour
● 0 images

fit_ricker (Package: metafolio) : Fit Ricker linear regression

Fit a Ricker curve to spawner-recruit data and return the intercept (a) and slope (b). The model is fit via the RcppArmadillo package for speed..
● Data Source: CranContrib
● Keywords:
● Alias: fit_ricker
● 0 images

CVaR (Package: metafolio) : Conditional Value at Risk

Get the conditional value at risk.
● Data Source: CranContrib
● Keywords:
● Alias: CVaR
● 0 images

run_cons_plans (Package: metafolio) : Run conservation plans and return the portfolio mean and variance values

This function takes a set of weights representing different conservation plans and gets the mean and variance in portfolio space. This function allows a maximally complicated set of weights to accommodate all possible scenarios. It can accommodate different spatial strategies of conservation, conserving different numbers of populations, and a lack of knowledge. You can do this by how you set your w weight object. See the example.
● Data Source: CranContrib
● Keywords:
● Alias: run_cons_plans
● 0 images

thermal_curve_a (Package: metafolio) : Create thermal tolerance curves.

Creates a quadratic thermal tolerance curve of the form: width_param * (temp - optim_temp)^2 + max_a Negative values are *not* returned as 0 for speed of computation. You should check for this after.
● Data Source: CranContrib
● Keywords:
● Alias: thermal_curve_a
● 0 images

plot_cons_plans (Package: metafolio) : Plot conservation plans in mean-variance space

This makes a mean-variance plot of the portfolio output. It can take care of: plotting the individual portfolios, adding 2D kernel density polygons at two quantile levels, and adding an efficient frontier.
● Data Source: CranContrib
● Keywords:
● Alias: plot_cons_plans
● 0 images

plot_correlation_between_returns (Package: metafolio) : Plot correlation of returns (i.e. metapopulation abundance) across stocks.

Create a matrix plot showing the correlation between the log returns of each stock/asset.
● Data Source: CranContrib
● Keywords:
● Alias: plot_correlation_between_returns
● 0 images

meta_sim (Package: metafolio) : Run a single metapopulation simulation.

This is the master function for running metafolio simulations. It runs a single iteration of a simulation. The arguments can be manipulated with other functions in the package to use this function as part of a portfolio analysis.
● Data Source: CranContrib
● Keywords:
● Alias: meta_sim
● 0 images