jacobian {mixtox} | R Documentation |
Jacobian Matrix Calculation
Description
calculating the Jacobian matrix for confidence intervals
Usage
jacobian(eq, x, paraHat)
Arguments
eq |
equation |
x |
numeric vector of experimental concentrations |
paraHat |
fitted parameters |
Details
Jacobian matrix is the matrix of all first-order partial derivatives of a vector-valued function.
Value
jac |
Jacobian matrix. |
References
https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant
Examples
## example 1
x <- cytotox$Ni$x
rspn <- cytotox$Ni$y
obj <- curveFit(x, rspn, eq = 'Logit', param = c(12, 3), effv = c(0.05, 0.5), rtype = 'quantal')
jacobian('Logit', x, obj$p)
[Package mixtox version 1.4.0 Index]