AIC.xnicher             Akaike information criterion for a xnicher fit
BIC.xnicher             Bayesian information criterion for a xnicher
                        fit
assess                  Assess acceptance criteria for an optimization
                        result
assess.xnicher          Assess acceptance criteria for a xnicher result
compare_xnicher         Compare xnicher fits side-by-side via AIC and
                        BIC
cv_xnicher              k-fold (or leave-one-out) cross-validation for
                        a xnicher fit
cvine_cholesky          Build Cholesky factor of a correlation matrix
                        from C‑vine partial correlations
example_env_m_2d        Samples of environmental data from M hypothesis
                        to estimate negative log likelihood from
                        Abeillia abeillei presence points. This is a
                        hummingbird example. A dataset with two
                        variables containing points contains 2
                        bioclimatic variables
example_env_m_3d        Samples points from M hypothesis to estimate
                        negative log likelihood from Abeillia abeillei
                        presence points. This is a hummingbird example.
                        A dataset with three columns containing
                        extracted information from 3 bioclimatic
                        variables
example_env_occ_2d      Species occurrence points to estimate negative
                        log likelihood from Abeillia abeillei presence
                        points. This is a hummingbird example. A
                        dataset with two variables containing points
                        contains 2 bioclimatic variables
example_env_occ_3d      Species occurrence points to estimate negative
                        log likelihood from Abeillia abeillei presence
                        points. This is a hummingbird example. A
                        dataset with three variables containing points
                        contains 3 bioclimatic variables
example_mu_vec          Example of a vector of the center of an
                        ellipsoid from two environmental variables.
                        vector of length 2 corresponding to the
                        centroid of an ellipsoid
example_occ_df          Species occurrence points from Abeillia
                        abeillei presence points after download and
                        clean from GBIF. This is a hummingbird example.
                        A dataset with three variables. Contains
                        scientific name, longitude and latitude.
example_s_mat           Example of a covariance matrix of an ellipsoid
                        from two environmental variables. The 2 x 2
                        matrix corresponded to a positive semi-definite
                        matrix. In two dimensions encodes the rotation
                        (orientation) and scaling of an ellipse.
example_vicugna         Samples of environmental data from M hypothesis
                        to estimate negative log likelihood from
                        Vicugna vicugna.
geom_xnicher_background
                        Background environment layer
geom_xnicher_ellipse    Niche-ellipse layer derived from a fitted
                        'xnicher' model
geom_xnicher_isosuitability
                        Iso-suitability contour layer derived from a
                        fitted 'xnicher' model
geom_xnicher_occ        Occurrence-points layer
get_ellipsoid_pars      Get ellipsoid parameters. A function to compute
                        average and the inverse of covariance matrix
                        from environmental data
habitat_suitability     Tiled habitat-suitability map from an
                        environmental 'terra' stack
kde_gaussian            Multivariate Gaussian KDE with fixed Scott
                        bandwidth
logLik.xnicher          Log-likelihood of a fitted xnicher model
loglik_niche            Negative log likelihood of an ellipsoid
                        corrected with environmental combinations which
                        come from the area of study (M)
loglik_niche_math_cpp   Negative log-likelihood (M-restricted, math
                        scale, Cholesky version)
loglik_niche_math_ip_weighted
                        Negative log-likelihood
                        (inverse-probability-weighted normal, math
                        scale)
loglik_niche_math_ip_weighted_integrated
                        Negative log-likelihood
                        (inverse-probability-weighted normal,
                        integrated C++)
loglik_niche_math_presence_only
                        Negative log-likelihood (presence-only, math
                        scale)
niche_ip_weighted       Fit inverse-probability-weighted (IPW) normal
                        niche model
niche_presence_only     Fit presence-only Gaussian niche model
nobs.xnicher            Number of observations used to fit a xnicher
                        model
optimize_niche          Optimize niche model log-likelihood with
                        multi-start Sobol design
optimize_niche_xptr     Optimize niche model using a compiled XPtr
                        backend
predict.xnicher         Habitat-suitability raster from a fitted
                        'xnicher' object
print.xnicher           Print a xnicher object
rhipicephalus           Rhipicephalus microplus occurrence and
                        background environment data
rhipicephalus_occ       Rhipicephalus microplus occurrence coordinates
start_theta             Starting values for niche model on math scale
start_theta_multiple    Generate multiple starting points for niche
                        model optimization
