USCounties package:Matrix R Documentation _U_S_C_o_u_n_t_i_e_s _C_o_n_t_i_g_u_i_t_y _M_a_t_r_i_x _D_e_s_c_r_i_p_t_i_o_n: This matrix represents the contiguities of 3111 US counties using the Queen criterion of at least a single shared boundary point. The representation is as a row standardised spatial weights matrix transformed to a symmetric matrix (see Ord (1975), p. 125). _U_s_a_g_e: data(USCounties) _F_o_r_m_a_t: A 3111 ^2 symmetric sparse matrix of class 'dsCMatrix' with 9101 non-zero entries. _D_e_t_a_i_l_s: The data were read into R using 'read.gal', and row-standardised and transformed to symmetry using 'nb2listw' and 'similar.listw'. This spatial weights object was converted to class 'dsCMatrix' using 'as_dsTMatrix_listw' and coercion. _S_o_u_r_c_e: The data were retrieved from , files "usc.txt" and "usc_q.GAL", with permission for use and distribution from Luc Anselin. _R_e_f_e_r_e_n_c_e_s: Ord, J. K. (1975) Estimation methods for models of spatial interaction; _Journal of the American Statistical Association_ *70*, 120-126. _E_x_a_m_p_l_e_s: data(USCounties) (n <- ncol(USCounties)) IM <- .symDiagonal(n) nn <- 50 set.seed(1) rho <- runif(nn, 0, 1) system.time(MJ <- sapply(rho, function(x) determinant(IM - x * USCounties, logarithm = TRUE)$modulus)) nWC <- -USCounties C1 <- Cholesky(nWC, Imult = 2) system.time(MJ1 <- n * log(rho) + sapply(rho, function(x) c(determinant(update(C1, nWC, 1/x))$modulus))) all.equal(MJ, MJ1) C2 <- Cholesky(nWC, super = TRUE, Imult = 2) system.time(MJ2 <- n * log(rho) + sapply(rho, function(x) c(determinant(update(C2, nWC, 1/x))$modulus))) all.equal(MJ, MJ2) system.time(MJ3 <- n * log(rho) + Matrix:::ldetL2up(C1, nWC, 1/rho)) all.equal(MJ, MJ3) system.time(MJ4 <- n * log(rho) + Matrix:::ldetL2up(C2, nWC, 1/rho)) all.equal(MJ, MJ4)