Description: 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 studies.

Description: Estimates item and person parameters for the Continuous Response Model (CRM; Samejima, 1973, <doi:10.1007/BF02291114>), 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 studies.

Title: Estimation of Heritability in High Dimensional Sparse Linear
Author: Anna Bonnet and Celine Levy-Leduc
Description: Our method is a variable selection method to select active components in sparse linear mixed models in order to estimate the heritability. The selection allows us to reduce the size of the data sets which improves the accuracy of the estimations. Our package also provides a confidence interval for the estimated heritability.
Depends: R (>= 2.10), glmnet, parallel, MASS

Title: Tumor Clones Percentage Estimations
Author: Xuan You <youxuan90@gmail.com>, Yichen Cheng <ycheng11@gsu.edu>
Description: Includes R functions for the estimation of tumor clones percentages for both snp data and (whole) genome sequencing data. See Cheng, Y., Dai, J. Y., Paulson, T. G., Wang, X., Li, X., Reid, B. J., & Kooperberg, C. (2017). Quantification of multiple tumor clones using gene array and sequencing data. The Annals of Applied Statistics, 11(2), 967-991, <doi:10.1214/17-AOAS1026> for more details.

Title: Estimation of the jump rate and simulation for
Description: This package deals with the estimation of the jump rate
for piecewise-deterministic Markov processes (PDMPs), from only
one observation of the process within a long time. The main
functions provide an estimate of this function. The state space
may be discrete or continuous. The associated paper is given in
References. Other functions provide a method to simulate random
variables from their (conditional) hazard rate, and then to