a2a | Easily switch between different power law formulations. |

a2a.list | Easily switch between different power law formulations. |

a2a.numeric | Easily switch between different power law formulations. |

agg_index | Several aggregation indices. |

aphids | Counts of aphids. |

arthropods | Counts of arthropods. |

as.data.frame.intensity | Coerce to a data frame. |

BetaBinomial | The beta-binomial distribution. |

calpha.test | C(alpha) test. |

calpha.test.fisher | C(alpha) test. |

chisq.test | Chi-squared test. |

chisq.test.default | Chi-squared test. |

chisq.test.fisher | Chi-squared test. |

citrus_ctv | Incidence of citrus tristeza virus (CTV) disease in three fields. |

cloglog | Some link functions. |

clump | Regroup observational data into even clumps of individuals. |

clump.intensity | Regroup observational data into even clumps of individuals. |

codling_moths | Count of codling moth larvae. |

count | Construct count, incidence and severity objects. |

count_data | Construct count, incidence and severity objects. |

dbetabinom | The beta-binomial distribution. |

dogwood_anthracnose | Incidence of dogwood anthracnose. |

fit_two_distr | Maximum likelihood fitting of two distributions and goodness-of-fit comparison. |

fit_two_distr.count | Maximum likelihood fitting of two distributions and goodness-of-fit comparison. |

fit_two_distr.default | Maximum likelihood fitting of two distributions and goodness-of-fit comparison. |

fit_two_distr.incidence | Maximum likelihood fitting of two distributions and goodness-of-fit comparison. |

hop_viruses | Incidence of three viruses in an Australian hop garden. |

incidence | Construct count, incidence and severity objects. |

incidence_data | Construct count, incidence and severity objects. |

intensity | Construct count, incidence and severity objects. |

is.count | Test if an object is of class 'intensity' or one of its subclasses. |

is.incidence | Test if an object is of class 'intensity' or one of its subclasses. |

is.intensity | Test if an object is of class 'intensity' or one of its subclasses. |

is.severity | Test if an object is of class 'intensity' or one of its subclasses. |

link | Some link functions. |

logit | Some link functions. |

mapcomp | Map Comparison procedure. |

mapcomp.count | Map Comparison procedure. |

mapcomp.data.frame | Map Comparison procedure. |

mapcomp.incidence | Map Comparison procedure. |

mapcomp.matrix | Map Comparison procedure. |

mapped_var | Existing variable mappings. |

mapped_var<- | Existing variable mappings. |

mapping | Construct data mappings. |

mapping_ | Construct data mappings. |

offspring_survival | Offspring survival of rats experiencing different diets. |

onion_bacterial_blight | Incidence of bacterial blight of onion. |

pbetabinom | The beta-binomial distribution. |

power_law | Taylor's and binary power laws. |

probit | Some link functions. |

pyrethrum_ray_blight | Incidence of ray blight disease of pyrethrum. |

qbetabinom | The beta-binomial distribution. |

rbetabinom | The beta-binomial distribution. |

remap | Construct data mappings. |

sadie | Spatial Analysis by Distance IndicEs (SADIE). |

sadie.count | Spatial Analysis by Distance IndicEs (SADIE). |

sadie.data.frame | Spatial Analysis by Distance IndicEs (SADIE). |

sadie.incidence | Spatial Analysis by Distance IndicEs (SADIE). |

sadie.matrix | Spatial Analysis by Distance IndicEs (SADIE). |

severity | Construct count, incidence and severity objects. |

severity_data | Construct count, incidence and severity objects. |

simulated_epidemics | Examples of simulated epidemic data. |

spatial_hier | Spatial hierarchy analysis. |

split.intensity | Divide into groups and reassemble. |

threshold | To go to higher level in the hierarchy. |

tobacco_viruses | Incidence of tobacco plants infected with viruses. |

tomato_tswv | Incidence of tomato spotted wilt virus (TSWV) disease in field trials. |

z.test | Z-test. |

z.test.default | Z-test. |

z.test.fisher | Z-test. |