Showing 8 of total 8 results (show query)
drizopoulos
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>.
Maintained by Dimitris Rizopoulos. Last updated 20 days ago.
generalized-linear-mixed-modelsmixed-effects-modelsmixed-models
61 stars 10.37 score 212 scripts 5 dependents
minatonakazawa
fmsb:Functions for Medical Statistics Book with some Demographic Data
Several utility functions for the book entitled "Practices of Medical and Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese demographic data and some demographic analysis related functions.
Maintained by Minato Nakazawa. Last updated 1 years ago.
3 stars 7.74 score 1.9k scripts 23 dependents
murphymv
semEff:Automatic Calculation of Effects for Piecewise Structural Equation Models
Automatically calculate direct, indirect, and total effects for piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck, 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Maintained by Mark V. Murphy. Last updated 7 months ago.
12 stars 6.20 score 29 scripts
polkas
miceFast:Fast Imputations Using 'Rcpp' and 'Armadillo'
Fast imputations under the object-oriented programming paradigm. Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'. The biggest improvement in time performance could be achieve for a calculation where a grouping variable have to be used. A single evaluation of a quantitative model for the multiple imputations is another major enhancement. A new major improvement is one of the fastest predictive mean matching in the R world because of presorting and binary search.
Maintained by Maciej Nasinski. Last updated 2 months ago.
cppfastfast-imputationsgroupingimputationimputationsmatrixmromultiple-imputationrcpprcpparmadillovifweightingopenblascppopenmp
20 stars 5.94 score 29 scripts
profpetrie
regclass:Tools for an Introductory Class in Regression and Modeling
Contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9 <https://titles.cognella.com/introduction-to-regression-and-modeling-with-r-9781631892509>.
Maintained by Adam Petrie. Last updated 5 years ago.
3.74 score 301 scripts 1 dependents
sustainscapes
AICcPermanova:Model Selection of PERMANOVA Models Using AICc
Provides tools for model selection and model averaging of PerMANOVA models using Akaike Information Criterion corrected for small sample sizes (AICc) and Information Theoretic criteria principles. The package is built around the PERMANOVA analysis from the 'vegan' package and provides a streamlined workflow for generating and comparing models, obtaining model weights, and summarizing results using model averaging approaches. The methods implemented in this package are based on the practical information- theoretic approach described by Burnham, K. P. and Anderson, D. R. (2002) (<doi:10.1007/b97636>).
Maintained by Derek Corcoran. Last updated 1 years ago.
3.70 score 9 scripts
