Reproducible Random Samples Under Univariate Censoring Schemes
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Documentation for package ‘UniCensor’ version 0.1.0
Help Pages
| as.data.frame.censored_sample | Coerce censored sample to data frame |
| as.vector.censored_sample | Extract observed values from a censored sample |
| dist_spec | Define a univariate distribution for simulation |
| plot_censor_acf | Autocorrelation function plot |
| plot_censor_diagnostics | Combined diagnostic panel: histogram, dot plot, and ACF |
| plot_censor_dot | Dot plot (index plot) of sample values |
| plot_censor_hist | Histogram of observed values with true density overlay |
| print.censored_sample | Print method for censored_sample |
| print.dist_spec | Print method for dist_spec |
| r_bjpt2_censor | Balanced joint progressive Type-II (BJPT-II) censoring |
| r_block_random_censor | Block random censoring |
| r_complete | Generate a complete (uncensored) random sample |
| r_doubly_type2_censor | Doubly Type-II censoring |
| r_hybrid_censor | Hybrid censoring (Type-I and Type-II constraints) |
| r_hybrid_type1_censor | Hybrid Type-I censoring with progressive withdrawal |
| r_hybrid_type2_censor | Hybrid Type-II censoring |
| r_interval_censor | Interval censoring |
| r_joint_type1_censor | Joint Type-I censoring across multiple samples |
| r_joint_type2_censor | Joint Type-II censoring across multiple samples |
| r_left_censor | Left censoring at a fixed threshold |
| r_left_truncation | Left-truncated random sample |
| r_middle_censor | Middle censoring |
| r_progressive_first_failure | Progressive first-failure censoring |
| r_progressive_hybrid_type2_censor | Type-II progressively hybrid censoring |
| r_progressive_type2_censor | Progressive Type-II censoring |
| r_random_censor | Random censoring |
| r_right_censor | Right censoring at a fixed time |
| r_right_truncation | Right-truncated random sample |
| r_type1_censor | Type-I (time-terminated) censoring |
| r_type1_hybrid_censor | Type-I hybrid censoring |
| r_type2_censor | Type-II (failure-terminated) censoring |