View source: R/uncondExact2x2.R
unirootGrid | R Documentation |
Find the root (value where the function equals 0) of a monotonic function, func
,
using a halving algorithm grid search.
unirootGrid(func, power2 = 12, step.up = TRUE, pos.side = FALSE,
print.steps = FALSE, power2grid = power2gridRatio, ...)
func |
monotonic function |
power2 |
positive integer, number of grid points is 1+2^power2 |
step.up |
logical, start the search at the lower end of the grid and step up? |
pos.side |
logical, should the root be on the positive side? In other words, should func(root)>=0 |
print.steps |
logical, should each step that is evaluated be printed? |
power2grid |
function that returns the grid. Take one argument, |
... |
arguments passed to |
The grid is defined with the power2grid
argument that defines a function
with an argument power2
, and returns a grid with 1+2^power2
elements. The root is found by a halving algorithm on the grid, so func
is calculated only power2+1
times. The ‘root’ is the element that is closest to the root,
either on the positive side (pos.side=TRUE
) or not.
The unirootGrid
function calls uniroot.integer
and finds roots based on grid search.
The functions power2gridRatio
and power2gridDifference
create grids for searching (0,Inf) and (-1,1) respectively.
The power2gridRatio
grid is equally spaced on the log scale with about half of the grid between 0.5 and 2.
The function power2grid
allows more flexibility in defining grids.
A list with elements:
iter |
number of iterations |
f.root |
value of func at root |
root |
root, element on the grid that is closest to the root on the negative side (if pos.side=FALSE) |
bound |
interval for the accuracy |
Michael P. Fay
uniroot
and uniroot.integer
# print.steps prints all iterations,
# with x=rank of grid value (e.g., x=1 is lowest value in grid)
# f(x) really is f(grid[x]) where grid is from the power2grid function
unirootGrid(function(x){ x - .37}, power2=10, power2grid=power2gridRatio,
print.steps=TRUE, pos.side=TRUE)
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