2019
DOI: 10.32614/rj-2019-003
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dr4pl: A Stable Convergence Algorithm for the 4 Parameter Logistic Model

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Cited by 20 publications
(6 citation statements)
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“…All nauplii, dead or alive, were counted and recorded within 24 h of being placed in contact with the tested suspensions. The non-linear modeling of the concentration-lethality relationship was achieved through a four-parameter logistics model (4PL), implemented in several robust variants for estimating parameters in the R package “dr4pl” [ 78 ].…”
Section: Methodsmentioning
confidence: 99%
“…All nauplii, dead or alive, were counted and recorded within 24 h of being placed in contact with the tested suspensions. The non-linear modeling of the concentration-lethality relationship was achieved through a four-parameter logistics model (4PL), implemented in several robust variants for estimating parameters in the R package “dr4pl” [ 78 ].…”
Section: Methodsmentioning
confidence: 99%
“…The statistical examinations applied for each figure are stated in the legends. The half-maximal inhibitory concentration (IC 50 ) calculation was conducted in R (v.4.1.3) environment with R packages drc ( 106 ) and dr4pl ( 107 ).…”
Section: Methodsmentioning
confidence: 99%
“…We here modelled cortical thinning between childhood and adulthood using nonlinear mixed models implemented via the saemix 56 package (version 2.4) in R (version 4.1.0) and RStudio (version 1.4.1717). To capture the characteristic s-shape of cortical thinning, we fit the four-parameter logistic function 57 , as defined in the Results section. See https://github.com/df1234/HUBU_NLMMs for our analysis code.…”
Section: Methodsmentioning
confidence: 99%