| ppstat-package | Point Process Statistics |
| archeaVirus | Archea virus genome data. |
| bSpline | B-Splines bases |
| coefficients-method | Class "PointProcessModel" |
| coefficients<- | Class "PointProcessModel" |
| coefficients<--method | Class '"PointProcessKernel"' |
| coefficients<--method | Class "PointProcessModel" |
| computeBasis | Computes function evaluations |
| computeBasis-method | Computes function evaluations |
| computeDDMinusLogLikelihood | Class "PointProcessModel" |
| computeDDMinusLogLikelihood-method | Class '"PointProcessKernel"' |
| computeDDMinusLogLikelihood-method | Class "PointProcessModel" |
| computeDDMinusLogLikelihood-method | Class '"PointProcessSmooth"' |
| computeDMinusLogLikelihood | Class "PointProcessModel" |
| computeDMinusLogLikelihood-method | Class '"PointProcessKernel"' |
| computeDMinusLogLikelihood-method | Class "PointProcessModel" |
| computeDMinusLogLikelihood-method | Class '"PointProcessSmooth"' |
| computeLinearPredictor | Class "PointProcessModel" |
| computeLinearPredictor-method | Class "PointProcessModel" |
| computeMinusLogLikelihood | Class "PointProcess" |
| computeMinusLogLikelihood-method | Class "PointProcess" |
| computeMinusLogLikelihood-method | Class '"PointProcessKernel"' |
| computeMinusLogLikelihood-method | Class "PointProcessModel" |
| computeMinusLogLikelihood-method | Class '"PointProcessSmooth"' |
| computeModelMatrix | Class "PointProcessModel" |
| computeModelMatrix-method | Class "PointProcessModel" |
| const | Indicator function multiplied by a constant. |
| Family | Class "Family" |
| Family-class | Class "Family" |
| family-method | Class "Family" |
| family-method | Class "PointProcess" |
| formula-method | Class '"MultivariatePointProcess"' |
| formula-method | Class "PointProcess" |
| formula<--method | Class "PointProcess" |
| gaussianKernel | Reproducing kernels |
| getInformation | Stepwise point process model selection |
| getInformation-method | Stepwise point process model selection |
| getLinearFilter | Class "PointProcessModel" |
| getLinearFilter-method | Class '"MultivariatePointProcess"' |
| getLinearFilter-method | Class "PointProcessModel" |
| getModelMatrix | Class "PointProcessModel" |
| getModelMatrix-method | Class "PointProcessModel" |
| getRegisteredParBackend | Parallel backend for the 'ppstat' package. |
| Gibbs | Creates a point process family object |
| Hawkes | Creates a point process family object |
| hawkesRate | Intensity for the Hawkes process. |
| lapplyParallel | Parallel backend for the 'ppstat' package. |
| makeLink | Class "Family" |
| MultivariatePointProcess-class | Class '"MultivariatePointProcess"' |
| Ogata | Multivariate Ogata thinning algorithm |
| penalty | Class "PointProcessModel" |
| penalty-method | Class "PointProcessModel" |
| penalty<- | Class "PointProcessModel" |
| penalty<--method | Class "PointProcessModel" |
| plot-method | Class "PointProcessModel" |
| PointProcess-class | Class "PointProcess" |
| PointProcessKernel-class | Class '"PointProcessKernel"' |
| pointProcessModel | Construction and estimation of a generalized linear point process model. |
| PointProcessModel-class | Class "PointProcessModel" |
| PointProcessSmooth-class | Class '"PointProcessSmooth"' |
| ppKernel | Generalized linear point process modeling using reproducing kernels. |
| ppLasso | Generalized linear point process modeling using lasso penalization. |
| ppmFit | Construction and estimation of a generalized linear point process model. |
| ppmFit-method | Construction and estimation of a generalized linear point process model. |
| ppSmooth | Generalized linear point process modeling using smoothing splines. |
| ppstat | Point Process Statistics |
| predict-method | Class "PointProcessModel" |
| print.summary.glppm | summary |
| processData | Class "PointProcess" |
| processData-method | Class "PointProcess" |
| processData<- | Class "PointProcess" |
| processData<--method | Class "PointProcess" |
| registerParBackend | Parallel backend for the 'ppstat' package. |
| response | Class "PointProcess" |
| response-method | Class "PointProcess" |
| setModelMatrix<- | Class "PointProcessModel" |
| setModelMatrix<--method | Class "PointProcessModel" |
| show-method | Class "PointProcessModel" |
| simulate-method | Class '"MultivariatePointProcess"' |
| sobolevKernel | Reproducing kernels |
| stepInformation | Stepwise point process model selection |
| stepInformation-method | Stepwise point process model selection |
| subset-method | Class "PointProcessModel" |
| summary-method | Class '"MultivariatePointProcess"' |
| summary-method | summary |
| termPlot | termPlot |
| termPlot-method | Class '"MultivariatePointProcess"' |
| termPlot-method | termPlot |
| tExp | Truncated Exponential |
| toyData | A small toy data set. |
| update-method | Class '"PointProcessKernel"' |
| update-method | Class '"PointProcessSmooth"' |
| update-method | update |
| update-methods | update |
| vcov-method | Class "PointProcessModel" |