Maximum Likelihood Estimation under Censoring Schemes

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Documentation for package ‘MleCensoR’ version 0.1.0

• DESCRIPTION file.

Help Pages

AIC.mle_fit	Extract Akaike Information Criterion (AIC)
coef.mle_fit	Extract Parameter Estimates
logLik.mle_fit	Extract Log-Likelihood
mle_bjpt2	MLE under Balanced Joint Progressive Type-II (BJPT-II) Censoring
mle_block_random	MLE under Block Random Censoring
mle_doubly_type2	MLE under Doubly Type-II Censoring
mle_hybrid	MLE under Hybrid Censoring (Type-I Hybrid)
mle_hybrid_type1	MLE under Hybrid Type-I Censoring
mle_hybrid_type2	MLE under Hybrid Type-II Censoring
mle_interval	MLE under Interval Censoring
mle_joint_type1	MLE under Joint Type-I Censoring
mle_joint_type2	MLE under Joint Type-II Censoring
mle_left	MLE under Left Censoring
mle_left_truncation	MLE under Left Truncation
mle_middle	MLE under Middle Censoring
mle_progressive_first_failure	MLE under Progressive First Failure Censoring
mle_progressive_hybrid_type2	MLE under Type-II Progressively Hybrid Censoring
mle_progressive_type2	MLE under Progressive Type-II Censoring
mle_random	MLE under Random Censoring
mle_right	MLE under Right Censoring
mle_right_truncation	MLE under Right Truncation
mle_type1	MLE under Type-I Censoring
mle_type1_hybrid	MLE under Type-I Hybrid Censoring
mle_type2	MLE under Type-II Censoring
nIter	Extract Number of Iterations
print.mle_fit	Print MLE Fit
print.summary.mle_fit	Print Summary Table
stdEr	Extract Standard Errors
summary.mle_fit	Summarize MLE Fit
vcov.mle_fit	Extract Variance-Covariance Matrix