nls_MC: Monte Carlo simulations of linear least squares models
In Jonas-Wilhelm/jwtools: Useful tools for biology related projects
nls_MC R Documentation
Monte Carlo simulations of linear least squares models
Description
Perform Monte Carlo (MC) simulations of non linear least squares models.
Usage
nls_MC(model, runs = 1000)
Arguments
model
A nls object to perform MC calculations with.
runs
Number of MC runs to perform (defaults to 1000).
Examples
n <- nls(mpg ~ k * e ^ wt, data = mtcars, start = list(k = 1, e = 2))
nls_MC(n)
Jonas-Wilhelm/jwtools documentation built on April 14, 2025, 4:10 a.m.
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| nls_MC | R Documentation |
Monte Carlo simulations of linear least squares models
Description
Perform Monte Carlo (MC) simulations of non linear least squares models.
Usage
nls_MC(model, runs = 1000)
Arguments
model |
A nls object to perform MC calculations with. |
runs |
Number of MC runs to perform (defaults to 1000). |
Examples
n <- nls(mpg ~ k * e ^ wt, data = mtcars, start = list(k = 1, e = 2))
nls_MC(n)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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