Packages by Shikhar Tyagi

AdaptHyCensor — 0.1.0

Generalized Inference and Data Generation for Adaptive Progressive Hybrid Censoring Schemes

AlphaPowerHazard — 0.1.0

Alpha-Power Hazard Regression Models for Survival Data

ArvindRF — 1.0.0

Random Forest Regression with Arvind Distribution Error Model

ArvindSt — 1.1.0

Five Novel Stochastic Regression Models with Arvind-Distributed Errors and Effects

AugBalWeight — 0.1.0

Augmented Balancing Weights as Linear Regression

BDPTobitQR — 0.1.0

Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data

BayesPanelUR — 0.1.0

Bayesian Unit Root Test for Panel Data Models

BayesQRCount — 0.1.0

Adaptive Bayesian Quantile Regression for Count Data

BayesSplineUR — 0.1.0

Bayesian Unit Root Test for AR(1) Model with Trend Approximated by Linear Spline Function

BayesURTrend — 0.1.0

Bayesian Unit Root Test for Model with Maintained Trend

CompRiskRel — 0.1.0

Reliability and Competing Risks Analysis under Hybrid Censoring

CoxAalenCR — 0.1.0

Additive-Multiplicative Cox-Aalen Subdistribution Hazard Model for Competing Risks

DepDoubleTruncKS — 0.1.0

Kolmogorov-Smirnov Test for Dependently Double-Truncated Durations

FrailtyPackPlus — 0.1.0

Shared, Correlated, Additive, and Zero-Inflated Frailty Models

GammaFrailty — 0.1.0

Gamma Frailty Regression Models with Multiple Baseline Distributions

GammaFrailtySPC — 0.1.0

Statistical Process Control Based on Gamma-Frailty AFT Models

Gofpt2 — 0.1.0

Generalized Goodness-of-Fit Test for Progressive Type-II Censored Data

IGPFrailty — 0.1.0

Inverse Gaussian Process Degradation Models with Frailty

ImpAdaptType2Censor — 0.1.0

Data Generation and Statistical Inference for Improved Adaptive Type-II Progressive Censoring Schemes

LugsailGR — 0.1.0

Generalized Gelman-Rubin Diagnostic and Effective Sample Size for MCMC

MAARTS — 1.0.0

Merger and Acquisition Autoregressive Time-Series Models

MTLRF — 1.0.0

Random Forest Regression with Modified Topp-Leone Error Model

MYIS — 0.1.0

'Moreau-Yosida' Importance Sampling for Statistical Inference

MleCensoR — 0.1.0

Maximum Likelihood Estimation under Censoring Schemes

ModToppLeone — 0.1.0

Modified Topp-Leone Distribution: Properties, Estimation, and Applications

MultiFrailty — 0.1.0

Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions

MultiStepSSAD — 0.1.0

Multiple-Steps Step-Stress Accelerated Degradation Modeling

OneShotEM — 0.1.0

Efficient eM-Algorithm for One-Shot Device Data Analysis

PowerXgammaRF — 1.0.0

Random Forest Regression with Power Xgamma Distribution Error Model

ProcessCapabilityR — 0.1.0

Classical and Generalized Process Capability Indices

SemiParamBernsteinDepCS — 0.1.0

Semiparametric Bayesian Regression for Dependent Current Status Data

SingRegKrig — 0.1.0

Singularity Regression Kriging for Spatial Prediction

StochFracPoisson — 0.1.0

Stochastic Poisson Processes and Fractional Counting Models

StressCensoR — 0.1.0

Generalized Stress-Strength Reliability Estimation Under Censoring Schemes

TKApprox — 0.1.0

A General Framework for Bayesian Estimation Using the 'Tierney'-'Kadane' Approximation

TieFreeCensor — 0.1.0

Algorithm for Generating Tie-Free Progressive Type-II Censored Samples

UniCensor — 0.1.0

Reproducible Random Samples Under Univariate Censoring Schemes

UniCensorEM — 0.1.0

EM Algorithm for Parameter Estimation Under Censoring Schemes

UniIS — 0.1.0

Importance Sampling Inference for Censored Univariate Data

UniLindleyApprox — 0.1.0

Bayesian Point Estimation Using Lindley's Approximation Under Censoring Schemes

coxmnar — 0.1.0

Cox Regression with Missing not at Random Failure Indicators

gofLorenz — 0.1.0

Goodness-of-Fit Tests for Location-Scale Distributions via Lorenz Curve

gofPHCS — 0.1.0

Goodness-of-Fit Tests for Complete, Progressively Type-II, Type-I Hybrid, and Type-II Hybrid Censored Data

gofmalm — 0.1.0

Goodness-of-Fit Tests for Type-II Censored Samples via the Malmquist Transformation

gpci — 0.1.0

Generalized Process Capability Indices and Bootstrap Confidence Intervals

gpciEMprogII — 0.1.0

Generalized Process Capability Indices via EM Algorithm under Progressive Type-II Censoring

gpciImpSam — 0.1.0

Importance Sampling Estimation of Generalized Process Capability Indices

gpciIntCensor — 0.1.0

Generalized Process Capability Indices for Interval-Censored Data

gpciLindApproxProgII — 0.1.1

Lindley Approximation for Capability Indices under Progressive Censoring

gpciLindleyApprox — 0.1.0

Lindley Approximation Method for Generalized Process Capability Indices

gpciProgTyII — 0.1.0

Generalized Process Capability Indices under Progressive Type-II Censoring

gpciProgTyIIImpSam — 0.1.0

Generalized Process Capability Indices for Progressive Type-II Censored Data using Importance Sampling

gpcihybridII — 0.1.0

Generalized Process Capability Indices under Hybrid Type-II Censoring

gpcihybridIIEM — 0.1.0

Generalized Process Capability Indices via EM for Hybrid Type-II Data

gpcihybridIIImpSam — 0.1.0

Process Capability Indices for Hybrid Type-II Data via Importance Sampling

gpcihybridIILinApp — 0.1.0

Lindley Approximation for Capability Indices under Hybrid Censoring

gpcihybridIImcmc — 0.1.0

Generalized Process Capability Indices for Hybrid Type-II Censored Data using MCMC

pHMC — 0.1.0

Proximal Hamiltonian Monte Carlo for Non-Smooth Bayesian Inference

predHCS — 0.1.0

Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes