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. |