conf_quant_larger: one-sided confidence interval (c, Inf) for all quantiles
In li-xinran/RIQITE: Randomization Inference for Quantiles of Individual Treatment Effects
View source: R/RI_Quantile_20220919.R
conf_quant_larger R Documentation
one-sided confidence interval (c, Inf) for all quantiles
Description
generate one-sided confidence intervals
Usage
conf_quant_larger(
Z,
Y,
k.vec = NULL,
method.list = NULL,
score = NULL,
stat.null = NULL,
nperm = 10^5,
Z.perm = NULL,
alpha = 0.05,
tol = 10^(-3),
ind.sort.treat = NULL
)
Arguments
Z
treatment assignment (vector)
Y
outcome (vector)
li-xinran/RIQITE documentation built on July 1, 2023, 6:58 p.m.
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View source: R/RI_Quantile_20220919.R
| conf_quant_larger | R Documentation |
one-sided confidence interval (c, Inf) for all quantiles
Description
generate one-sided confidence intervals
Usage
conf_quant_larger(
Z,
Y,
k.vec = NULL,
method.list = NULL,
score = NULL,
stat.null = NULL,
nperm = 10^5,
Z.perm = NULL,
alpha = 0.05,
tol = 10^(-3),
ind.sort.treat = NULL
)
Arguments
Z |
treatment assignment (vector) |
Y |
outcome (vector) |
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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