Last data update: 2014.03.03
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R: Estimates models with increasing number of comparision...
Estimates models with increasing number of comparision subjects starting from
1:1 to using all available comparison group subjects.
Description
Estimates models with increasing number of comparision subjects starting from
1:1 to using all available comparison group subjects.
Usage
psrange(df, treatvar, formula, nsteps = 10, nboot = 10, samples,
type = c("logistic", "ctree"), ...)
Arguments
df |
data frame with variables to pass to glm
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treatvar |
vector representing treatment placement. Should be coded as
0s (for control) and 1s (for treatment).
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formula |
formula for logistic regression model
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nsteps |
number of steps to estimate from 1:1 to using all control records.
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nboot |
number of models to execute for each step.
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samples |
the sample sizes to draw from control group for each step.
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type |
either logistic for Logistic regression (using glm
function) or ctree for Conditional Inference Trees (using the
ctree function).
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... |
other parameters passed to glm.
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Value
a class of psrange that contains a summary data frame, a details data
frame, and a list of each individual result from glm.
Results
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