simdat: Simulated data without anomalies
In jmeydam/countcheck: Detecting Count Anomalies Using Bayesian Hierarchical Models
simdat R Documentation
Simulated data without anomalies
Description
The first six columns of data frame created with
countcheck(random_seed = 200807)
Usage
simdat
Format
A data frame with 1000 rows and 6 variables:
-
unit: ID for unit
-
n: previous reference count values (measure of
exposure), must at least be 1
-
y: previous count values of interest
-
n_new: new reference count values (measure of
exposure), must at least be 1
-
y_new: new count values of interest
-
true_theta: true value of theta (if known)
jmeydam/countcheck documentation built on Aug. 16, 2024, 11:34 a.m.
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| simdat | R Documentation |
Simulated data without anomalies
Description
The first six columns of data frame created with countcheck(random_seed = 200807)
Usage
simdat
Format
A data frame with 1000 rows and 6 variables:
-
unit: ID for unit
-
n: previous reference count values (measure of exposure), must at least be 1
-
y: previous count values of interest
-
n_new: new reference count values (measure of exposure), must at least be 1
-
y_new: new count values of interest
-
true_theta: true value of theta (if known)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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