| AIC.xnicher | Akaike information criterion for a xnicher fit |
| assess | Assess acceptance criteria for an optimization result |
| assess.xnicher | Assess acceptance criteria for a xnicher result |
| BIC.xnicher | Bayesian information criterion for a xnicher fit |
| compare_xnicher | Compare xnicher fits side-by-side via AIC and BIC |
| cvine_cholesky | Build Cholesky factor of a correlation matrix from C‑vine... |
| cv_xnicher | k-fold (or leave-one-out) cross-validation for a xnicher fit |
| dot-optimize_niche_helper_cpp | Run ucminfcpp::ucminf_xptr() for a single starting vector. |
| dot-resolve_weighted_inputs | Resolve KDE subsampling indices and precompute KDE weights... |
| dot-validate_xptr_result | Validate ucminfcpp::ucminf_xptr result against... |
| example_env_m_2d | Samples of environmental data from M hypothesis to estimate... |
| example_env_m_3d | Samples points from M hypothesis to estimate negative log... |
| example_env_occ_2d | Species occurrence points to estimate negative log likelihood... |
| example_env_occ_3d | Species occurrence points to estimate negative log likelihood... |
| example_mu_vec | Example of a vector of the center of an ellipsoid from two... |
| example_occ_df | Species occurrence points from Abeillia abeillei presence... |
| example_s_mat | Example of a covariance matrix of an ellipsoid from two... |
| example_vicugna | Samples of environmental data from M hypothesis to estimate... |
| 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'... |
| geom_xnicher_occ | Occurrence-points layer |
| get_ellipsoid_pars | Get ellipsoid parameters. A function to compute average and... |
| get_range_df_niche | Generate reasonable ranges for starting parameters (math... |
| habitat_suitability | Tiled habitat-suitability map from an environmental 'terra'... |
| kde_gaussian | Multivariate Gaussian KDE with fixed Scott bandwidth |
| loglik_niche | Negative log likelihood of an ellipsoid corrected with... |
| loglik_niche_math_cpp | Negative log-likelihood (M-restricted, math scale, Cholesky... |
| loglik_niche_math_ip_weighted | Negative log-likelihood (inverse-probability-weighted normal,... |
| loglik_niche_math_ip_weighted_integrated | Negative log-likelihood (inverse-probability-weighted normal,... |
| loglik_niche_math_ncst_r | Reference (pure-R) negative log-likelihood for the NCST... |
| loglik_niche_math_presence_only | Negative log-likelihood (presence-only, math scale) |
| logLik.xnicher | Log-likelihood of a fitted xnicher model |
| new_xnicher | Create a xnicher optimization result object |
| niche_ip_weighted | Fit inverse-probability-weighted (IPW) normal niche model |
| niche_presence_only | Fit presence-only Gaussian niche model |
| niche_suitability_cpp | Habitat-suitability kernel (parallel, zero-copy) |
| nobs.xnicher | Number of observations used to fit a xnicher model |
| optimize_niche | Optimize niche model log-likelihood with multi-start Sobol... |
| 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... |
| 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... |
| xnicher-package | xnicher: Estimates Ecological Niche Models Using Ellipses |
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