compute_mu_alpha_jacobian: Compute the Jacobian of the link function by Alpha parameter
In itamarfaran/corrfuncs: Analysis of populations of correlation matrices

Helper function to calculate the Jacobian of the expected value by Alpha: J_{α}≤ft(g≤ft(Θ,α\right)\right)_{ij}= \frac{\partial g_{i}≤ft(Θ,α\right)}{\partialα_{j}}

compute_mu_alpha_jacobian(
  group,
  alpha,
  control_datamatrix,
  diagnosed_datamatrix,
  d = 1,
  LinkFunc
)

`group`	can be either 'diagnosed' or 'control'
`alpha`	the vector to calculate the Jacobian on
`control_datamatrix`	array of correlation matrices of control group, vectorized and organized in a data matrix
`diagnosed_datamatrix`	same as control_datamatrix but of the diagnosed group
`d`	the number of columns in alpha, default 1
`LinkFunc`	the link function $g$ to use