person(given = "Giovanni",  family = "Millo",        role = c("aut"), email = "giovanni.millo@deams.units.it"),
person(given = "Kevin",     family = "Tappe",        role = c("aut"), email = "kevin.tappe@bwi.uni-stuttgart.de"),

Authors@R: c(person(given = "Yves",      family = "Croissant",    role = c("aut"), email = "yves.croissant@univ-reunion.fr"),
person(given = "Kevin",     family = "Tappe",        role = c("aut", "cre"), email = "kevin.tappe@bwi.uni-stuttgart.de"),
Imports: MASS, bdsmatrix, collapse (>= 1.8.0), zoo, nlme, sandwich,
text books such as Baltagi (2021), Econometric Analysis of Panel Data (<doi:10.1007/978-3-030-53953-5>),
Hsiao (2014), Analysis of Panel Data (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018),
Panel Data Econometrics with R (<doi:10.1002/9781119504641>).

Title: Additive partially linear models for differential gene
Depends: R (>= 2.14.2), MASS, splines, limma, R.oo
Description: A set of tools for identifying genes whose differential
expression is associated with measurements of other covariates
on a continuous scale.  These methods rely on generalized
additive partially linear models which can be fitted
efficiently using a B-spline basis approximation.  Still under
development: methods for interfacing with objects extending the
eSet class and a function to pass linear models in edgeR and
Packaged: 2012-05-09 00:37:12 UTC; jonasmueller

Title: Partially Linear Mixed Effects Model
Description: This package fits the partially linear mixed effects model
(semiparametric random intercept model) using kernel
regression, without distributional assumptions for the random
terms. Estimation procedure is an iterative generalized least
squares type. A nonparametric heteroskedastic variance function
is allowed for the regression error. Bootstrap resampling is
provided for inference. The package implements bandwidth
selection by an alternative cross validation for correlated
Packaged: 2012-11-28 14:09:51 UTC; Administrator

Title: Polytomous logit-normit (graded logistic) model estimation
Maintainer: Carl F. Falk <cffalk@gmail.com>
Description: Performs bivariate composite likelihood and full
information maximum likelihood estimation for polytomous
logit-normit (graded logistic) item response theory (IRT)