factor_exceeding: Calculate by how many standard deviations _y_new_ exceeds...
In jmeydam/countcheck: Detecting Count Anomalies Using Bayesian Hierarchical Models
factor_exceeding R Documentation
Calculate by how many standard deviations y_new exceeds upper
control limit (UCL)
Description
Calculates factor f, with observed y_new exceeding UCL by
f * sd(y_new). Returns negative value if observed y_new
is lower than ucl. Returns Inf if theta_hat is 0.
Usage
factor_exceeding(theta_hat, n_new, y_new, ucl)
Arguments
theta_hat
Estimate (unless known) of rate parameter theta
n_new
New value for exposure (reference counts), must at least be 1
y_new
New count values of interest
ucl
Upper control limit (UCL), must be greater than 0
Details
Assuming a Poisson distribution with
lambda_hat = theta_hat * n_new,
the estimated standard deviation of y_new
is sqrt(lambda_hat).
Value
Factor f, with observed y_new exceeding UCL by
f * sd(y_new)
jmeydam/countcheck documentation built on Aug. 16, 2024, 11:34 a.m.
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| factor_exceeding | R Documentation |
Calculate by how many standard deviations y_new exceeds upper control limit (UCL)
Description
Calculates factor f, with observed y_new exceeding UCL by f * sd(y_new). Returns negative value if observed y_new is lower than ucl. Returns Inf if theta_hat is 0.
Usage
factor_exceeding(theta_hat, n_new, y_new, ucl)
Arguments
theta_hat |
Estimate (unless known) of rate parameter theta |
n_new |
New value for exposure (reference counts), must at least be 1 |
y_new |
New count values of interest |
ucl |
Upper control limit (UCL), must be greater than 0 |
Details
Assuming a Poisson distribution with lambda_hat = theta_hat * n_new, the estimated standard deviation of y_new is sqrt(lambda_hat).
Value
Factor f, with observed y_new exceeding UCL by f * sd(y_new)
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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