# IRT model estimation and plotting

The following source code and r examples are used to provide a simple common interface to the estimation of item parameters in IRT models for binary responses with three different programs.

The following source code and r examples are used to compute time-dependent Incident/dynamic accuracy measures, such as ROC curve, AUC, integrated AUC, from censored survival data

The following source code and r examples are collection of functions for fitting distributions to given data or by known quantiles.

The following source code and r examples are used for Estimating Semiparametric PH and AFT Mixture Cure Models.

The following source code and r examples are collection of building blocks for the design and analysis of evolutionary multiobjective optimization algorithms.

The following package is used to Estimates the intensity function or its derivative of a give a given order using the local polynomial method.

The following are Spectral Analysis for Physical Applications.

The following are Wavelet Methods for Time Series Analysis.

The following package Calculates exact tests and confidence intervals for one-sample binomial and one- or two-sample Poisson cases.

This package provides functions and source code for unit root testing using Maximum Likelihood Estimation（MLS） method.

This package provides tests of significance for covariates in a fully nonparametric regression model and a variable selection procedure based on False Discovery Rate.

This package provides mixed stock analysis functions.

Binomial random numbers are generated via the perfect sampling algorithm. At each iteration dual markov chains are generated and coalescence is checked.

This package provides source code for Training of neural networks using backpropagation, resilient backpropagation.

This package contains a collection of functions which implement data classification. It uses unlabeled data to obtain parameter estimates of models.

The following package is about the Epidemiological calculator in R.

This package provides user-level functions to manage namespaces in R.

This package is designed to perform nonparametric analysis of longitudinal data in factorial experiments.

This package simulate and estimate spatial clustered point patterns of the Neyman-Scott model and their extensions.

Flexible multivariate function approximation using adapted Mixture of Student t Distributions. Mixture of t distribution is obtained using Importance Sampling weighted Expectation Maximization algorithm.

The following package is about the Analysis of multivariate dichotomous and polytomous data using latent trait models under the Item Response Theory approach.

The following Functions for Constraint Based Simulation using Flux Balance Analysis and informative analysis of the data generated during simulation.

The following package provides A collection of functions to support matrix calculations for probability, econometric and numerical analysis.

The following package can be used Computes the probability density function, hazard rate function, integrated hazard rate function and the quantile function.

This package contains functions for likelihood and posterior analysis of conditionally specified logistic regression models.

This package contains functions to perform inference via simulation from the posterior distributions for Bayesian nonparametric and semiparametric models.

The following package is about the Graphical User Interfaces examples in R.

The following package contains the WCQ method for detection of QTL effects in a small mapping population.

The following package includes different sets of functions to filter time series based on concepts from robust statistics.

The following package provides a covariance estimator for multivariate normal data that is sparse and positive definite.