exceedProb
Exceedance probability and associated confidence intervals for general linear models
Science Score: 23.0%
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Exceedance probability and associated confidence intervals for general linear models
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Metadata Files
README.md
exceedProb
This R package computes exceedance probabilities and associated confidence intervals. Currently supports general linear models, with a beta function for Cox models. Please see Segal (2019) for more information.
Installation
{r}
install.packages("exceedProb")
Examples
```{r} library(exceedProb)
Sample mean -----------------------------------------------------------------
n <- 100 x <- rnorm(n = n)
thetahat <- mean(x) sdhat <- sd(x)
cutoff <- seq(from = thetahat - 0.5, to = thetahat + 0.5, by = 0.1)
exceedProb(cutoff = cutoff, thetahat = thetahat, sdhat = sdhat, alpha = 0.05, d = 1, n = n, m = n)
Linear regression -----------------------------------------------------------
n <- 100 beta <- c(1, 2) x <-runif(n = n, min = 0, max = 10) y <- rnorm(n = n, mean = cbind(1, x) %*% beta, sd = 1)
j <- 2 fit <- lm(y ~ x) thetahat <- coef(fit)[j] sdhat <- sqrt(n * vcov(fit)[j, j])
cutoff <- seq(from = thetahat - 0.5, to = thetahat + 0.5, by = 0.1)
exceedProb(cutoff = cutoff, thetahat = thetahat, sdhat = sdhat, alpha = 0.05, d = length(beta), n = n, m = n) ```
References
Segal, B. D. (2019). Toward replicability with confidence intervals for the exceedance probability. The American Statistician. doi:10.1080/00031305.2019.1678521.
Owner
- Name: Brian Segal
- Login: bdsegal
- Kind: user
- Location: Washington, DC
- Company: Indigo Ag
- Website: https://bdsegal.github.io/
- Repositories: 3
- Profile: https://github.com/bdsegal
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cran.r-project.org: exceedProb
Confidence Intervals for Exceedance Probability
- Homepage: https://github.com/bdsegal/exceedProb
- Documentation: http://cran.r-project.org/web/packages/exceedProb/exceedProb.pdf
- License: GPL (≥ 3)
- Status: removed
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Latest release: 0.0.1
published almost 7 years ago
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Dependencies
- R >= 3.1 depends
- Rcpp >= 1.0.2 imports
- boot >= 1.3 imports
- survival >= 2.44 imports