The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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:
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)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.