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. |