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nlme specifications

Information


Unique identifier OMICS_31759
Name nlme
Alternative name Linear and Nonlinear Mixed Effects 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, GNU General Public License version 2.0
Computer skills Advanced
Version 3.1-137
Stability Stable
Source code URL https://cran.r-project.org/src/contrib/nlme_3.1-137.tar.gz
Maintained Yes

Versioning


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Documentation


nlme citations

 (635)
call_split

Common drivers of seasonal movements on the migration – residency behavior continuum in a large herbivore

2018
Sci Rep
PMCID: 5956000
PMID: 29769562
DOI: 10.1038/s41598-018-25777-y
call_split See protocol

[…] fit quality. We reported the correlation coefficient between explanatory variables in Supplementary Material (Tables  and Table ). Analyses were performed using the package “adehabitatHR”, “sp” and “nlme” from R software. […]

call_split

Vascular reactivity in small cerebral perforating arteries with 7 T phase contrast MRI – A proof of concept study

2018
Neuroimage
PMCID: 5915583
PMID: 29408324
DOI: 10.1016/j.neuroimage.2018.01.055
call_split See protocol

[…] . It also allows the use of every detected perforator separately without averaging per subject, increasing the degrees of freedom (, , ). The LME model was fitted and tested for significance with the NLME package (R Core Team) in R (R Foundation for Statistical Computing).Since the MCA data consists of only the subject level, the LME model collapses to ordinary least squares. Therefore, the flow r […]

library_books

Sex Differences in Cognitive Decline in Subjects with High Likelihood of Mild Cognitive Impairment due to Alzheimer’s disease

2018
Sci Rep
PMCID: 5945611
PMID: 29748598
DOI: 10.1038/s41598-018-25377-w

[…] the same sample sizes due to missing values or drop outs. All statistical analyses were conducted in the R (www.r-project.org); mixed-effect models for longitudinal analyses were conducted using the nlme package in the R. All methods were performed in accordance with the relevant guidelines and regulations. […]

call_split

Shell colour, temperature, (micro)habitat structure and predator pressure affect the behaviour of Cepaea nemoralis

2018
PMCID: 5942350
PMID: 29744635
DOI: 10.1007/s00114-018-1560-2
call_split See protocol

[…] ant samples. To account for this, we used a linear mixed model with a temporal autocovariate (Turchin ). Linear mixed models were built separately for each principal component. The function lme() in “nlme” package (Pinheiro et al. ) implemented in R (R Core Team ) was used for this purpose. […]

library_books

High intensity intermittent games based activity and adolescents’ cognition: moderating effect of physical fitness

2018
BMC Public Health
PMCID: 5941716
PMID: 29739386
DOI: 10.1186/s12889-018-5514-6

[…] Data from the Stroop test and Sternberg paradigm were analysed using R (www.r-project.org). Response time analyses were performed using the nlme package, which implements mixed effect models and yields t statistics. Accuracy analyses were performed using the lme4 package, which implements mixed effect models for data with a binomial outco […]

call_split

Larval density mediates knockdown resistance to pyrethroid insecticides in adult Aedes aegypti

2018
PMCID: 5934844
PMID: 29724237
DOI: 10.1186/s13071-018-2865-x
call_split See protocol

[…] e between high and low density, defined as the total number of days from first-instar larva to adult, was quantified using a linear mixed effects model with replicate as a random intercept (R package nlme []). The probability of survival was analyzed using a binomial-distributed generalized linear mixed effects model (GLMM), also with replicate as a random intercept (R package lme4 []). Analyses w […]

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