harsh-123-stats.r-universe.dev

[harsh-123-stats] rMCHSPTT 0.1.0

rsearchstat21@gmail.com (Harsh Tripathi) — Thu, 08 Oct 2026 22:13:34 GMT

Designing and comparing modified chain sampling inspection plan (MChSP). This package implements ChSP-1, MChSP-1, Multiple Dependent State Sampling (MDS), and Modified Chain Sampling plans (MChSP). The plans use user-supplied failure probabilities and determine the minimum sample size subject to consumer's risk constraints. Functions are provided to compare the required sample sizes of the four plans and visualize their performance. The distribution-free formulation allows the methods to be used with different lifetime distributions. Luca (2018) ; Tripathi et al. (2021) ; Tripathi et al. (2023) ; Rao et al. (2025) ; Tripathi and Saha (2023) .

[harsh-123-stats] rMDSPTT 0.1.0

rsearchstat21@gmail.com (Harsh Tripathi) — Fri, 02 Oct 2026 12:52:51 GMT

Provides functions for designing multiple dependent state sampling inspection plans for time-truncated life tests. The package determines the minimum sample size required to satisfy a specified consumer's risk constraint and evaluates the probability of acceptance under different quality and termination ratios. Users can directly provide failure probabilities, allowing the sampling plan to be applied to different lifetime distributions without requiring distribution-specific functions. Provide operating characteristic analysis, sample size analysis, and graphical comparison with single sampling inspection plans. Aslam et al. (2016) ; Rao et al. (2020) ; Balamurali et al. (2017) ; Saha et al. (2021) ; Tripathi et al. (2020) ; Tripathi et al. (2023) .

[harsh-123-stats] rReGSPTT 0.1.0

rsearchstat21@gmail.com (Harsh Tripathi) — Tue, 29 Sep 2026 13:40:14 GMT

Designing repetitive group acceptance sampling inspection plans for time-truncated life tests. The package uses a distribution-free formulation in which the user supplies the failure probability. The functions compute operating characteristic probabilities and average sample numbers subject to a consumer's risk constraint. The package also provides graphical and comparative tools for comparing repetitive group, group and single sampling inspection plans. Sherman (1965) ; Aslam and Jun (2013) . Saha et al. (2025) ; Tripathi et al. (2020) ; Tripathi and Aslam (2024) ; Tripathi et al. (2022) ; Saha et al. (2021) ; Tripathi et al. (2023) .

[harsh-123-stats] rGrSPTT 0.1.0

rsearchstat21@gmail.com (Harsh Tripathi) — Thu, 17 Sep 2026 14:40:28 GMT

Designing group acceptance sampling inspection plans under time-truncated life tests. The package calculates the required minimum number of groups subject to a consumer's risk constraint on the probability of acceptance. Users can supply failure probabilities obtained from any lifetime distribution, allowing the methodology to be applied without restricting the analysis to a particular probability model. The package also provides a function for plotting the required minimum number of groups against the termination ratio. Saha et al. (2025) ; Tripathi et al. (2020) ; Tripathi and Aslam (2024) .

[harsh-123-stats] rSSP 0.1.0

rsearchstat21@gmail.com (Harsh Tripathi) — Mon, 14 Sep 2026 20:00:02 GMT

Designing single acceptance sampling inspection plans under time-truncated life tests and calculates the minimum required sample size subject to a consumer's risk constraint on the probability of acceptance. Failure probabilities can be supplied from any lifetime distribution, allowing the methodology to be applied without restricting the analysis to a particular probability model. The package also provides plot of the required sample size against the termination ratio. Tripathi et al. (2023) ; Hu and Gui (2018) .