| Name : R-BEND
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.2
| Date : 2024-06-14 11:32:56
|
| Group : Development/Libraries/Other
| Source RPM : R-BEND-1.0-lp153.2.2.src.rpm
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| Size : 0.21 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Estimation of Nonlinear Data (BEND)
|
Description :
Provides a set of models to estimate nonlinear longitudinal data using
Bayesian estimation methods. These models include the: 1) Bayesian
Piecewise Random Effects Model (Bayes_PREM()) which estimates a
piecewise random effects (mixture) model for a given number of latent
classes and a latent number of possible changepoints in each class, and
can incorporate class and outcome predictive covariates (see Lamm
(2022) < https://hdl.handle.net/11299/252533> and Lock et al., (2018)
< doi:10.1007/s11336-017-9594-5>), 2) Bayesian Crossed Random Effects
Model (Bayes_CREM()) which estimates a linear, quadratic, exponential,
or piecewise crossed random effects models where individuals are
changing groups over time (e.g., students and schools; see Rohloff et
al., (2024) < doi:10.1111/bmsp.12334>), and 3) Bayesian Bivariate
Piecewise Random Effects Model (Bayes_BPREM()) which estimates a
bivariate piecewise random effects model to jointly model two related
outcomes (e.g., reading and math achievement; see Peralta et al.,
(2022) < doi:10.1037/met0000358>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
