gem_scd: A function to estimate the gradual effects model for an SCD
In SingleCaseES: A Calculator for Single-Case Effect Sizes
View source: R/gradual-effects-model.R
gem_scd R Documentation
A function to estimate the gradual effects model for an SCD
Description
A function to estimate the gradual effects model for an SCD
Usage
gem_scd(Trt, outcome, m, fam)
Arguments
Trt
A vector of treatment assignments where 0 = untreated and 1 =
treated.
outcome
A vector of outcomes.
m
The number of treatment occasions to estimate a treatment effect
for.
fam
A description of the error distribution and link function to be
used in the model. This can be supplied in any way that 'glm' will accept.
(See family for details of family functions.)
Value
'gem_scd' returns an object of class glm. In addition to the
normal contents of a glm object, it also contains an estimate of
'omega' and a variance covariance matrix called 'varcov'.
SingleCaseES documentation built on Sept. 11, 2024, 7:04 p.m.
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View source: R/gradual-effects-model.R
| gem_scd | R Documentation |
A function to estimate the gradual effects model for an SCD
Description
A function to estimate the gradual effects model for an SCD
Usage
gem_scd(Trt, outcome, m, fam)
Arguments
Trt |
A vector of treatment assignments where 0 = untreated and 1 = treated. |
outcome |
A vector of outcomes. |
m |
The number of treatment occasions to estimate a treatment effect for. |
fam |
A description of the error distribution and link function to be
used in the model. This can be supplied in any way that 'glm' will accept.
(See |
Value
'gem_scd' returns an object of class glm. In addition to the
normal contents of a glm object, it also contains an estimate of
'omega' and a variance covariance matrix called 'varcov'.
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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