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Information


Unique identifier OMICS_26833
Name gnm
Alternative name Generalized Nonlinear Models
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.1-0
Stability Stable
Requirements
methods, stats, graphics, Matrix, utils, grDevices, MASS, nnet, R(≥3.0.0), qvcalc(≥ 0.8-3), relimp, vcdExtra
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Heather Turner

Additional information


http://eprints.ncrm.ac.uk/472/1/0607_overview_of_the_gnm_package.pdf

gnm citations

 (7)
library_books

Acetaminophen administration and the risk of acute kidney injury: a self controlled case series study

2018
PMCID: 5846761
PMID: 29563839
DOI: 10.2147/CLEP.S158110

[…] on 3.2.1 software, and the results are presented with 95% confidence intervals (CIs) when appropriate. We used conditional Poisson regression to compare each patient’s risk and reference periods with Generalized Nonlinear Models package. A two-sided P-value of <0.05 was considered statistically significant. […]

library_books

Modeling pollen mediated gene flow from glyphosate resistant to susceptible giant ragweed (Ambrosia trifida L.) under field conditions

2017
Sci Rep
PMCID: 5719015
PMID: 29213093
DOI: 10.1038/s41598-017-16737-z

[…] average wind speed, wind frequency, and/or wind run as the explanatory variables in different logically possible combinations without collinearity. The nonlinear regression models were fit using the Generalized Nonlinear Models (gnm) package in R software. The advantage of using the gnm compared to the nonlinear least square (nls) function is that responses with non-Gaussian distribution can be f […]

library_books

Statistical challenges in modelling the health consequences of social mobility: the need for diagonal reference models

2017
PMCID: 5668329
PMID: 28717828
DOI: 10.1007/s00038-017-1018-x

[…] able to use DRMs relatively easily, because relevant packages and scripts have recently been developed. These include Tolsma et al.’s SPSS tutorial (: 266), Turner and Firth’s Dref subcommand of the gnm R package (2007), and Lizardo’s Stata package ().We illustrate the advantages of DRMs in social mobility research in public health by contrasting this method with conventional approaches applied i […]

library_books

Pollen mediated gene flow from glyphosate resistant common waterhemp (Amaranthus rudis Sauer): consequences for the dispersal of resistance genes

2017
Sci Rep
PMCID: 5361169
PMID: 28327669
DOI: 10.1038/srep44913

[…] his study, all statistical analyses were carried out in R Version 3.2.2. Frequency of gene flow data from all distances and directions and from both years were subjected to nonlinear regression using Generalized Nonlinear Models (package gnm). The frequency of gene flow data followed a binomial distribution, as there were two possible outcomes (dead or alive seedlings) from the resistance screenin […]

library_books

Length of carotid stenosis predicts peri procedural stroke or death and restenosis in patients randomized to endovascular treatment or endarterectomy

2013
PMCID: 4232022
PMID: 23895672
DOI: 10.1111/ijs.12084

[…] ession models. Cox regression was used to investigate the association between the three anatomical parameters and recurrent ipsilateral stroke. Impact on restenosis was tested using interval-censored generalized nonlinear models, as detailed previously . Formal testing for subgroup-treatment effect interactions was performed for each anatomical parameter and each end-point, by including a multipli […]

library_books

Effect of Reference Genome Selection on the Performance of Computational Methods for Genome Wide Protein Protein Interaction Prediction

2012
PLoS One
PMCID: 3406042
PMID: 22844541
DOI: 10.1371/journal.pone.0042057

[…] against the reference genome selection (). At 0.20 FPR we found that BAS set performed reasonably well on HQG and LQG with TPR of 0.86 and 0.53, respectively.MDM is a variant of Gene Neighbor Method (GNM) and the previous report suggested that the GNM outperforms PPM . Contrary to the previous report, we observed that the performance of PPM is substantially better than MDM when HQG dataset was use […]

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