T_bar_individual: T_bar_individual
In fineiskid/scdlintrend: Effect Size Estimation in SCD Studies with Linear Trends
Description
Usage
Arguments
Value
Description
calculate the mean treatment effect for an individual case
Usage
1
T_bar_individual(beta, c_i, k)
Arguments
beta
the (4k, 1) vector of coefficients ordered [intercept1, intercept2,...,interceptk, slope1, slope2,...,slopek]
c_i
the (4k, 1) vector of multipliers and midpoints for counting up beta coefficients
k
number of complete sub-phase cycles, as in (AB)^k
Value
the average T estimate for one case
fineiskid/scdlintrend documentation built on May 16, 2019, 12:53 p.m.
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Description Usage Arguments Value
Description
calculate the mean treatment effect for an individual case
Usage
1 | T_bar_individual(beta, c_i, k)
|
Arguments
beta |
the (4k, 1) vector of coefficients ordered [intercept1, intercept2,...,interceptk, slope1, slope2,...,slopek] |
c_i |
the (4k, 1) vector of multipliers and midpoints for counting up beta coefficients |
k |
number of complete sub-phase cycles, as in (AB)^k |
Value
the average T estimate for one case
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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