scov0.1.2 package

Calculate average effects (the mean effect over the matrix support)

Calculates the Jacobian of the backwards transformation

Calculates the backward transformation of the parameter

Calculates the matrix D used in the quadratic minimization problem

Calculates the vector d used in the quadratic minimization problem

Calculates the average correlation for the spatial effect

Minimizes the Frobenius norm via quadratic optimization

Calculates the derivative of the inverse of G (the CAR model matrix)

Computes the derivative of the correlation matrix w.r.t. beta

Adds combined effects to the matList via the Hadamard product

Computes non-positive-semidefinite approximation of correlation matrix

Computes correlation matrix from a normalized dataset (=standard error...

Estimates the correlation matrix of the dataset

Computes the correlation matrix corresponding to the SCE model

Calculates the derivative of the spatial average effect

Computes the Fisher information matrix

Transforms the parameter using a logit and inverse softmax

Calculates the Frobenius inner product between to square matrices

Computes the matrices needed for the spatial effect

Calculates the gradient of the function of the transformed parameter

Calculates the gradient of the loglikelihood or the gradient of Sigma

Computes the initial value estimator (IVE)

Computes (a translation of) the loglikelihood for the transformed para...

Computes (a translation of) the loglikelihood

Computes a measure of distance between the support of two matrices

Computes the structured covariance matrix estimator (SCE)

Computes a structured estimator for covariance matrices

Computes the inverse of the correlation matrix of the CAR model

Maps the pairwise covariates to symmetric, positive definite matrices

Computes the "true" (i.e., not translated) log-likelihood (needed for ...

Computes the weighted structured covariance matrix estimator (WSCE)