| avg_effect | Calculate average effects (the mean effect over the matrix... |
| backward_transform_param | Calculates the backward transformation of the parameter |
| backward_transform_param_jacobian | Calculates the Jacobian of the backwards transformation |
| calc_Dmat | Calculates the matrix D used in the quadratic minimization... |
| calc_dvec | Calculates the vector d used in the quadratic minimization... |
| calc_mean_neighbor_effect | Calculates the average correlation for the spatial effect |
| calc_Sigma_opt_frob | Minimizes the Frobenius norm via quadratic optimization |
| calc_tilde_G_inv_partial_beta | Calculates the derivative of the inverse of G (the CAR model... |
| combined_matList | Adds combined effects to the matList via the Hadamard product |
| combined_matList_partial_der | Computes the derivative of the correlation matrix w.r.t. beta |
| compute_marginal_cor | Computes non-positive-semidefinite approximation of... |
| cor_from_standard_errors | Computes correlation matrix from a normalized dataset... |
| correlation_matrix | Estimates the correlation matrix of the dataset |
| CovMat_03 | Computes the correlation matrix corresponding to the SCE... |
| eta_D_der | Calculates the derivative of the spatial average effect |
| Fisher_information | Computes the Fisher information matrix |
| forward_transform_param | Transforms the parameter using a logit and inverse softmax |
| frob_scalar_prod | Calculates the Frobenius inner product between to square... |
| get_M_A | Computes the matrices needed for the spatial effect |
| GradLogLikLogParm_02 | Calculates the gradient of the function of the transformed... |
| GradLogLikParm_02 | Calculates the gradient of the loglikelihood or the gradient... |
| ive | Computes the initial value estimator (IVE) |
| LogLikLogParm_02 | Computes (a translation of) the loglikelihood for the... |
| LogLikParm_02 | Computes (a translation of) the loglikelihood |
| mat_support_distance | Computes a measure of distance between the support of two... |
| sce | Computes the structured covariance matrix estimator (SCE) |
| scov | Computes a structured estimator for covariance matrices |
| test_func | Bootstrap simulations for the WSCE |
| tilde_G_inv | Computes the inverse of the correlation matrix of the CAR... |
| to_positive_definite | Maps the pairwise covariates to symmetric, positive definite... |
| true_LogLikParm_02 | Computes the "true" (i.e., not translated) log-likelihood... |
| wsce | Computes the weighted structured covariance matrix estimator... |
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