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Counternull package allows users to conduct Randomization-Based Inference for customized experiments.Users may use the package to compute Fisher-Exact P-Values alongside null randomization distributions.Additionally, users can retrieve counternull sets, generate counternull distributions, compute Fisher Intervals, and Fisher-Adjusted P-Values. The package may be used on data of any size and distribution including usage with custom made test statistics.
You can install the released version of Counternull from CRAN with:
install.packages("Counternull")Examples of functions that can be used in Counternull Package:
library(Counternull)
y = sample_data$turn_angle
w = sample_data$w
n_r = create_null_rand(y, w, sample_matrix, test_stat = c("t"))
summary(n_r)
#> Observed test statistic: 1.88171
#> Number of extreme test statistics: 56
#> P-value: 0.056
#> Alternative: two-sided
plot(n_r)
n_r = create_null_rand(sample_data$turn_angle, sample_data$w,
sample_matrix, test_stat = c("diffmeans"))
c = find_counternull_values(n_r)
summary(c)
#> Counternull Set (Positive): [ 5.782512 , 5.817145 ]
#> Counternull Set (Negative): [ -5.851778 , -5.841883 ]
plot(c)
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