GLMMadaptive - Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
Fits generalized linear mixed models for a single grouping factor under maximum likelihood approximating the integrals over the random effects with an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995) <doi:10.1080/10618600.1995.10474663>.
Last updated 5 months ago
generalized-linear-mixed-modelsmixed-effects-modelsmixed-models
10.00 score 60 stars 4 packages 204 scripts 4.6k downloadsltm - Latent Trait Models under IRT
Analysis of multivariate dichotomous and polytomous data using latent trait models under the Item Response Theory approach. It includes the Rasch, the Two-Parameter Logistic, the Birnbaum's Three-Parameter, the Graded Response, and the Generalized Partial Credit Models.
Last updated 3 years ago
9.54 score 30 stars 26 packages 736 scripts 10k downloadsJMbayes2 - Extended Joint Models for Longitudinal and Time-to-Event Data
Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
Last updated 4 months ago
competing-riskslongitudinal-analysismixed-modelsmulti-statepersonalized-medicineprecision-medicineprediction-modelsurvival-models
8.19 score 80 stars 2 packages 249 scripts 934 downloadsJMbayes - Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.
Last updated 4 years ago
joint-modelslongitudinal-responsesprediction-modelsurvival-analysis
6.95 score 59 stars 76 scripts 600 downloadsJM - Joint Modeling of Longitudinal and Survival Data
Shared parameter models for the joint modeling of longitudinal and time-to-event data.
Last updated 2 years ago
4.36 score 2 stars 106 scripts 2.2k downloadscvGEE - Cross-Validated Predictions from GEE
Calculates predictions from generalized estimating equations and internally cross-validates them using the logarithmic, quadratic and spherical proper scoring rules; Kung-Yee Liang and Scott L. Zeger (1986) <doi:10.1093/biomet/73.1.13>.
Last updated 5 years ago
4.18 score 3 stars 151 downloadsbootStepAIC - Bootstrap stepAIC
Model selection by bootstrapping the stepAIC() procedure.
Last updated 3 years ago
1.64 score 22 scripts 328 downloads