Author: Christian E. Galarza <chedgala@espol.edu.ec> and Victor H. Lachos <hlachos@uconn.edu>
Imports: mvtnorm, lqr, quantreg, psych, ald, progress
It also provides prediction and graphical summaries for assessing the algorithm

Package: qrNLMM
Type: Package
Title: Quantile Regression for Nonlinear Mixed-Effects Models
Version: 3.3
Date: 2022-08-17
Author: Christian E. Galarza <chedgala@espol.edu.ec> and Victor H. Lachos <hlachos@uconn.edu>
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>
Imports: mvtnorm, lqr, quantreg, psych, ald, progress
Description: Quantile regression (QR) for Nonlinear
Mixed-Effects Models via the asymmetric Laplace distribution (ALD).
It uses the Stochastic Approximation of the EM (SAEM) algorithm for
deriving exact maximum likelihood estimates and full inference results
for the fixed-effects and variance components.
It also provides prediction and graphical summaries for assessing the algorithm
convergence and fitting results.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-08-17 13:36:29 UTC; cgala
Repository: CRAN
Date/Publication: 2022-08-18 12:40:05 UTC

Title: Quantal Response Analysis for Dose-Mortality Data
Description: Functions are provided that implement the
use of the Fieller's formula methodology, for
calculating a confidence interval for a ratio of
(possibly, correlated) means.  See Fieller (1954)
the application of primary interest is to studies
of insect mortality response to increasing doses
of a fumigant, or, e.g., to time in coolstorage.
The formula is used to calculate a confidence
interval for the dose or time required to achieve
a specified mortality proportion, commonly 0.5
or 0.99.  A vignette demonstrates link functions
that may be considered, and alternative choices of
error family.  Note in particular the beta-binomial
error family.  See also Maindonald, Waddell,
Suggests: knitr, rmarkdown, plyr, robustlmm, MASS, fitODBOD, glmmTMB,
VGAM, bbmle, epiphy, latticeExtra, xtable, testDriveR, gamlss,
bookdown, prettydoc, DHARMa, kableExtra, magrittr, afex,