Man pages for antiphon/rstrauss
Simulates Strauss point process, in 2D and 3D
| approximate_strauss_constant | Approximate Strauss constant (master function) |
| approximate_strauss_constant_OT | approximate Strauss constant using Ogata&Tanemura approx. |
| approximate_strauss_constant_penttinen | approximate Strauss constant using Penttinen84 approx. |
| approximate_strauss_constant_PS | approximate Strauss constant using Path sampling |
| approximate_strauss_constant_R | approximate unconditional Strauss constant using Gaussian... |
| approximate_strauss_constant_R3 | approximate Strauss constant using Gaussian approx. of the... |
| bbox_cut | Cut coordinates with a bbox |
| bbox_dilate | dilate bbox |
| bbox_distance | distance from points to bbox border |
| bbox_erode | Erode a 3d box |
| bbox_volume | bbox volume |
| convert_to_pp | Interpret data |
| cutgeom | Cut the edges of from a geometric graph |
| dstrauss | density of a strauss process |
| fgibbs | Fit stationary and isotropic exp-family Gibbs process in 2D... |
| fgibbs.logistic | Fit exp-Gibbs processes to data using Logistic likelihood... |
| flennardjones.logistic | Fit Lennard-Jones process to data using Logistic likelihood... |
| fstrauss | Fit stationary and isotropic Strauss process in 2D and 3D |
| fstrauss.bayes | Bayesian inference for stationary Strauss process |
| fstraussbiv.logistic | Fit bivariate Strauss process to data using Logistic... |
| fstrauss.direct | Fit Strauss process to data using maximum approx. likelihood |
| fstrauss.logistic | Fit Strauss process to data using Logistic likelihood method |
| fstrauss.profile | Profile pseudolikelihood for Strauss |
| fstrauss.vb | Mean field fit of Strauss process using pseudolikelihood... |
| fstrauss.vbll | Mean field fit of Strauss process using logistic likelihood... |
| geom | geometric graph |
| gibbs_pot | Computes the sufficient statistics for exp-Gibbs models |
| gibbs_pot.lennardjones | lennard-jones |
| gibbs_pot.strauss | strauss |
| LambertW | Lambert's W function order 0 |
| marginal_likelihood | Compute the marginal likelihood for Bayesian Strauss... |
| print.gibbsfit | Fit result object |
| print.straussfit | Fit result object |
| rstrauss | Simulate Strauss process in 2- or 3-dimensional box |
| rstrauss_c | internal call |
| strauss_beta | Solve beta for Strauss given on n,gamma,range |
| strauss_intensity | Approximate intensity for Strauss based on beta,gamma,range |
| strauss_pcf | Pair correlation bounds given beta, gamma, R, lambda |
| strauss_theory | Theoretical maximum for the range parameter for hard core |
| vblogit | Fit logistic regression model using VB approximation |
| vbstrauss | Mean field fit of Strauss process using pseudolikelihood... |
