Depends: R (>= 2.8.0), lme4, mvtnorm, Matrix, lattice

Title: Modeling, Confidence Intervals and Equivalence of Survival
Description: We provide a non-parametric and a parametric approach to investigate the equivalence (or non-inferiority) of two survival curves, obtained from two given datasets. The test is based on the creation of confidence intervals at pre-specified time points.
For the non-parametric approach, the curves are given by Kaplan-Meier curves and the variance for calculating the confidence intervals is obtained by Greenwood's formula.
The parametric approach is based on estimating the underlying distribution, where the user can choose between a Weibull, Exponential, Gaussian, Logistic, Log-normal or a Log-logistic distribution. Estimates for the variance for calculating the confidence bands are obtained by a (parametric) bootstrap approach. For this bootstrap censoring is assumed to be exponentially distributed and estimates are obtained from the datasets under consideration.
All details can be found in K.Moellenhoff and A.Tresch: Survival analysis under non-proportional hazards: investigating non-inferiority or equivalence in time-to-event data <arXiv:2009.06699>.

Title: Calibrating Parameters for the Samejima's Continuous IRT Model
Description: This package includes the tools to estimate item and
person parameters for the Samejima's Continuous Response Model
(CRM) via Marginal Maximum Likelihood and EM algorithm, to
compute item fit residual statistics, to draw empirical 3D item
category response curves, to draw theoretical 3D item category
response curves, and to generate data under the CRM for

Description: This package contains functions to estimate item and
(CRM), to compute item fit residual statistics, to draw
empirical 3D item category response curves, to draw theoretical
3D item category response curves, and to generate data under

Description: The EstCRM package estimates item and person parameters
for the Samejima's Continuous Response Model (CRM), computes
item fit residual statistics, draws empirical 3D item category
response curves, draws theoretical 3D item category response
curves, and generates data under the CRM for simulation