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>.

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generalized-linear-mixed-modelsmixed-effects-modelsmixed-models

10.09 score 64 stars 5 dependents 268 scripts 9.5k downloads

ltm - 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.

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9.49 score 30 stars 26 dependents 998 scripts 6.7k downloads

JMbayes2 - 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).

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competing-riskslongitudinal-analysismixed-modelsmulti-statepersonalized-medicineprecision-medicineprediction-modelsurvival-modelsopenblascppopenmp

9.13 score 99 stars 2 dependents 373 scripts 1.1k downloads

JMbayes - 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>.

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joint-modelslongitudinal-responsesprediction-modelsurvival-analysisopenblascppopenmpjags

7.01 score 58 stars 88 scripts 431 downloads

JM - Joint Modeling of Longitudinal and Survival Data

Shared parameter models for the joint modeling of longitudinal and time-to-event data.

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5.48 score 2 stars 1 dependents 172 scripts 5.8k downloads

cvGEE - 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>.

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4.18 score 3 stars 171 downloads

bootStepAIC - Bootstrap stepAIC

Model selection by bootstrapping the stepAIC() procedure.

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1.76 score 1 stars 29 scripts 336 downloads