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gofmalm provides goodness-of-fit (GOF) tests for
arbitrary user-specified continuous parametric distributions under
Type-II right- or left-censoring.
Features
- Implements the transformation-based goodness-of-fit testing method
of Lin, Huang, and Balakrishnan (2008) using the
Malmquist (1950) transformation.
- Implements the earlier transformation of Michael and
Schucany (1979).
- Computes all 9 empirical distribution function (EDF) test statistics
(\(D_{r,n}, G_{r,n}, T_{r,n}, ^*W^2_{r,n},
W^2_{r,n}, A^2_{r,n}, U^2_{r,n}, ^TA^2_r, ^{*T}A^2_r\)).
- Computes direct untransformed censored EDF statistics of
Barr & Davidson (1973) and Pettitt &
Stephens (1976) (\(_{2}W^2_{r,n},
_{2}A^2_{r,n}\)).
- Supports simple hypotheses (known parameters, distribution-free
simulation) and composite hypotheses (unknown parameters estimated via
MLE, parametric bootstrap).
- Full support for Type-II left-censoring via quantile
reflection.
Installation
You can install gofmalm from the source package
tarball:
install.packages("gofmalm_0.1.0.tar.gz", repos = NULL, type = "source")
Quick Example
library(gofmalm)
# Example 1: Testing Uniform(0,1) with r = 5, n = 10 (simple hypothesis)
data_unif <- c(0.03, 0.06, 0.10, 0.11, 0.13)
res1 <- gof_censored(
data = data_unif,
n = 10,
pdf = dunif,
cdf = punif,
sf = function(x, p) 1 - punif(x),
estimate = FALSE,
pvalue_method = "distribution_free",
nsim = 1000,
seed = 123
)
print(res1)
References
- Lin, C.-T., Huang, Y.-L., & Balakrishnan, N. (2008). A New
Method for Goodness-of-Fit Testing Based on Type-II Right Censored
Samples. IEEE Transactions on Reliability, 57(4), 633–642. doi:10.1109/TR.2008.2005860
- Michael, J. R., & Schucany, W. R. (1979). A New Approach to
Testing Goodness of Fit for Censored Samples. Technometrics,
21(4), 435–441. doi:10.1080/00401706.1979.10489813
- Pettitt, A. N., & Stephens, M. A. (1976). Modified Cramér-von
Mises statistics for censored data. Biometrika, 63(2), 291–298.
doi:10.1093/biomet/63.2.291
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.