# Simulation-Based Quasi-Likelihood Estimation

## Documentation for package ‘qle’ version 0.18

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

qle-package | Simulation-Based Quasi-Likelihood Estimation
checkMultRoot | Assess plausibility of parameter estimates
covarTx | Variance matrix approximation
crossValTx | Prediction variances by cross-validation
estim | Kriging prediction and numerical approximation of derivatives
extract | Kriging the sample means of statistics
fitCov | Covariance parameter estimation
fitSIRFk | Estimation of covariance parameters
getDefaultOptions | Print default options for optimization
getQLmodel | Setup the quasi-likelihood approximation model all at once
jacobian | Kriging prediction and numerical approximation of derivatives
mahalDist | Mahalanobis distance of statistics
matclust | Matern cluster process data
mm1q | QLE estimation results of M/M/1 queue
multiDimLHS | Multidimensional Latin Hypercube Sampling (LHS) generation
multiSearch | A multistart version of local searches for parameter estimation
nextLOCsample | Generate a random sample of points
OPT | QLE estimation results of the normal model
optStat | Optimal subset selection of statistics
predictKM | Kriging the sample means of statistics
prefitCV | Covariance parameter estimation for cross-validation
print.qle | print results of class 'qle'
print.qleTest | print 'qleTest' results
print.QSResult | print results of class 'QSResult'
qle | Simulated quasi-likelihood parameter estimation
qleTest | Monte Carlo testing
QLmodel | Construct the quasi-likelihood approximation model
qscoring | Quasi-scoring iteration
qsd | A normal model
quasiDeviance | Quasi-deviance computation
reml | Restricted maximum likelihood (REML)
searchMinimizer | Minimize a criterion function
setCovModel | Set a covariance model
setQLdata | Setup of quasi-likelihood data for estimation
simQLdata | Simulate the statistical model
Subset of statistics | Optimal subset selection of statistics
updateCovModels | Update covariance models
varKM | Kriging the sample means of statistics