Description Usage Arguments Value Examples
fitlindr uses the nlsLM function from the minpack.lm package to fit a model formula to nonlinear response data. The formula is based upon the general hyperbolic function: y/ymax=x^h/(x^h+k^h), where ymax = yhi - ylo. k, ylo, yhi and h are start list parameters for nlsLM. The regression formula is 'y ~ ylo + (yhi - ylo)*x^h/(x^h + k^h)'
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x |
a vector of linear scale values, usually dose or concentration. |
y |
a vector of y values for x, usually responses. |
data |
a dataframe with x and y. |
k |
estimates the value of x that yields y/ymax = 0.5, usually ED50 or EC50. |
ylo |
estimates the lowest asymptotic y value, in response units. |
yhi |
estimates highest asymptotic value, in response units. |
h |
the Hill slope, a unitless slope factor; -1 > h > 1 is steeper, -1 < h < 1 is shallower. Use negative value for downward sloping response. |
weigh |
chooses regression weighting by 1/y^2. Default = FALSE. |
nls
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