Description Usage Arguments Value Examples
View source: R/f.linear.plateau.R
f.linear.plateau
fits linear plateau model using multiple initial values. The multiple initial values are randomly sampled in a "cube" of parameter space.
More precisely, linear plateau model assumes y ~ a + b * (x - c) * (x <= c).
1 2 3 4 5 6 7 | f.linear.plateau(
d,
start = list(a = 1, b = 1, c = 1),
plus_minus = 100,
n.start = 1000,
msg = FALSE
)
|
d |
data frame with two columns ( |
start |
initial estimate for non-linear least square (default value: |
plus_minus |
radius of random initial values (default: |
n.start |
total number of initial points considered (default: |
msg |
logical flag whether printing progress |
f.linear.plateau
returns a list of two components (if converged): nls.summary
: summary of the fitted model; nls.model
: nls object
1 2 3 4 5 6 7 8 9 10 11 12 |
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