out_Z: Generating an experiment design
In dpuelz/CliqueRT: Randomization-Based Testing of Causal Effects under General Interference
View source: R/functions_auxiliary.R
out_Z R Documentation
Generating an experiment design
Description
Returns sparse matrix Z of dimension (number of units x number of randomizations, i.e. assignments).
Each column represents a randomization, with equal probability. Within each
randomization, individuals have a probability of pi of being treated (equals 1).
Usage
out_Z(pi, num_randomizations)
Arguments
pi
A vector of length of number of units, specifying the
probability of an individual being treated in a randomization.
num_randomizations
A scalar denoting the number of assignments desired.
Value
Z (sparse binary matrix). The first column is the observed assignment.
dpuelz/CliqueRT documentation built on Jan. 6, 2023, 11:20 p.m.
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View source: R/functions_auxiliary.R
| out_Z | R Documentation |
Generating an experiment design
Description
Returns sparse matrix Z of dimension (number of units x number of randomizations, i.e. assignments).
Each column represents a randomization, with equal probability. Within each
randomization, individuals have a probability of pi of being treated (equals 1).
Usage
out_Z(pi, num_randomizations)
Arguments
pi |
A |
num_randomizations |
A |
Value
Z (sparse binary matrix). The first column is the observed assignment.
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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