null_sim: Null simulation: Generate uniformly distributed p-values and...
In nignatiadis/IHWpaper: Reproduce figures in IHW paper
Description
Usage
Arguments
Value
Functions
Examples
Description
Null simulation: Generate uniformly distributed p-values and covariates
Usage
1
2
3
null_sim(m, seed = NULL)
null_sim_fun(m)
Arguments
m
Integer, total number of hypotheses
seed
Integer, Random seed to be used for simulation
(default: NULL, i.e. RNG state will be used as is)
Value
A data frame containing all information about the simulation experiment
Functions
-
null_sim_fun: Creates a closure function for a given seed
Examples
1
sim_df <- null_sim(20000)
nignatiadis/IHWpaper documentation built on Jan. 18, 2021, 2:24 p.m.
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Description Usage Arguments Value Functions Examples
Description
Null simulation: Generate uniformly distributed p-values and covariates
Usage
1 2 3 | null_sim(m, seed = NULL)
null_sim_fun(m)
|
Arguments
m |
Integer, total number of hypotheses |
seed |
Integer, Random seed to be used for simulation (default: NULL, i.e. RNG state will be used as is) |
Value
A data frame containing all information about the simulation experiment
Functions
-
null_sim_fun: Creates a closure function for a given seed
Examples
1 | sim_df <- null_sim(20000)
|
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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