## ----setup, echo=FALSE, cache=FALSE------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", echo = FALSE, error = FALSE, message = FALSE, warning = FALSE ) ## ----indices------------------------------------------------------------------ subscripts <- tibble::tribble( ~Symbol, ~Description, "$\\s$", "Index for space; a vector of x and y coordinates", "$t$", "Index for time", "$g$", "Group" ) knitr::kable(subscripts, caption = "Table 1: Subscript notation", escape = FALSE, booktabs = TRUE) ## ----symbols, results='asis'-------------------------------------------------- symbols <- tibble::tribble( ~Symbol, ~Code, ~Description, "$y$", "`y_i`", "Observed response data", "$\\mu$", "`mu_i`", "Mean", "$\\phi$", "`phi`", "A dispersion parameter for a distribution", "$f$", "`fit$family$link`", "Link function", "$f^{-1}$", "`fit$family$linkinv`", "Inverse link function", "$\\boldsymbol{\\beta}$", "`b_j`", "Parameter vector", "$\\boldsymbol{X}$", "`X_ij`", "A predictor model matrix", "$O_{\\s, t}$", "`offset`", "An offset variable at point $\\s$ and time $t$", "$\\omega_{\\s}$", "`omega_s`", "Spatial random field at point $\\s$ (knot)", "$\\omega_{\\s}^*$", "`omega_s_A`", "Spatial random field at point $\\s$ (interpolated)", "$\\zeta_{\\s}$", "`zeta_s`", "Spatially varying coefficient random field at point $\\s$ (knot)", "$\\zeta_{\\s}^*$", "`zeta_s_A`", "Spatially varying coefficient random field at point $\\s$ (interpolated)", "$\\epsilon_{\\s, t}$", "`epsilon_st`", "Spatiotemporal random field at point $\\s$ and time $t$ (knot)", "$\\epsilon_{\\s, t}^*$", "`epsilon_st_A`", "Spatiotemporal random field at point $\\s$ and time $t$ (interpolated)", "$\\delta_{\\s,t}$", "`b_t`", "AR(1) or random walk spatiotemporal deviations (knot)", "$\\alpha_g$", "`RE`", "IID random intercept deviation for group $g$", "$\\boldsymbol{\\Sigma}_\\omega$", "`-`", "Spatial random field covariance matrix", "$\\boldsymbol{\\Sigma}_\\zeta$", "`-`", "Spatially varying coefficient random field covariance matrix", "$\\boldsymbol{\\Sigma}_\\epsilon$", "`-`", "Spatiotemporal random field covariance matrix", "$\\boldsymbol{Q}_\\omega$", "`Q_s`", "Spatial random field precision matrix", "$\\boldsymbol{Q}_\\zeta$", "`Q_s`", "Spatially varying coefficient random field precision matrix", "$\\boldsymbol{Q}_\\epsilon$", "`Q_st`", "Spatiotemporal random field precision matrix", "$\\sigma_\\alpha^2$", "`sigma_G`", "IID random intercept variance", "$\\sigma_\\epsilon^2$", "`sigma_E`", "Spatiotemporal random field marginal variance", "$\\sigma_\\omega^2$", "`sigma_O`", "Spatial random field marginal variance", "$\\sigma_\\zeta^2$", "`sigma_Z`", "Spatially varying coefficient random field marginal variance", "$\\kappa_\\omega$", "`kappa(0)`", "Spatial decorrelation rate", "$\\kappa_\\epsilon$", "`kappa(1)`", "Spatiotemporal decorrelation rate", "$\\rho$", "`ar1_rho`", "Correlation between random fields in subsequent time steps", "$\\rho_{\\gamma}$", "`rho_time`", "Correlation between time-varying coefficients in subsequent time steps", "$\\boldsymbol{A}$", "`A`", "Sparse projection matrix to interpolate between knot and data locations", "$\\boldsymbol{H}$", "`H`", "2-parameter rotation matrix used to define anisotropy" ) knitr::kable(symbols, caption = "Table 2: Symbol notation, code representation (in model output or in model template code), and descriptions.", escape = FALSE, booktabs = TRUE, linesep = c( rep('', 7), # y, mean etc. '\\addlinespace', rep('', 7), # fields '\\addlinespace', rep('', 5), # covariance stuff '\\addlinespace', rep('', 5), # more covariance stuff '\\addlinespace', rep('', 99) # end ))