Other packages > Find by keyword >

DHARMa  

Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
View on CRAN: Click here


Download and install DHARMa package within the R console
Install from CRAN:
install.packages("DHARMa")

Install from Github:
library("remotes")
install_github("cran/DHARMa")

Install by package version:
library("remotes")
install_version("DHARMa", "0.4.7")



Attach the package and use:
library("DHARMa")
Maintained by
Florian Hartig
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-26
Latest Update: 2024-10-18
Description:
The 'DHARMa' package uses a simulation-based approach to create readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed models. Currently supported are linear and generalized linear (mixed) models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB' 'GLMMadaptive' and 'spaMM', generalized additive models ('gam' from 'mgcv'), 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model classes. Moreover, externally created simulations, e.g. posterior predictive simulations from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well. The resulting residuals are standardized to values between 0 and 1 and can be interpreted as intuitively as residuals from a linear regression. The package also provides a number of plot and test functions for typical model misspecification problems, such as over/underdispersion, zero-inflation, and residual spatial and temporal autocorrelation.
How to cite:
Florian Hartig (2016). DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models. R package version 0.4.7, https://cran.r-project.org/web/packages/DHARMa. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1.0 (2016-08-26 19:06), 0.1.1 (2016-11-16 23:54), 0.1.2 (2016-11-19 18:44), 0.1.3 (2016-12-12 00:48), 0.1.4 (2017-03-08 00:10), 0.1.5 (2017-03-11 00:03), 0.1.6 (2018-03-18 21:41), 0.2.0 (2018-06-05 23:59), 0.2.1 (2019-01-17 16:20), 0.2.2 (2019-01-20 17:10), 0.2.3 (2019-02-12 07:47), 0.2.4 (2019-03-06 09:30), 0.2.5 (2019-11-18 19:10), 0.2.6 (2019-11-26 21:50), 0.2.7 (2020-02-06 21:00), 0.3.0 (2020-04-20 17:30), 0.3.1 (2020-05-12 08:20), 0.3.2.0 (2020-06-18 23:20), 0.3.3.0 (2020-09-08 22:20), 0.3.4 (2021-03-23 17:30), 0.4.0 (2021-03-28 08:51), 0.4.1 (2021-04-08 23:10), 0.4.2 (2021-07-05 12:20), 0.4.3 (2021-07-07 14:30), 0.4.4 (2021-09-28 15:00), 0.4.5 (2022-01-16 19:52), 0.4.6 (2022-09-08 23:33), 0.4.7 (2024-10-18 13:10), (2026-07-09 08:01)
Other packages that cited DHARMa R package
View DHARMa citation profile
Other R packages that DHARMa depends, imports, suggests or enhances
Complete documentation for DHARMa
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA