The phrase "a flexible model that" is correct and usable in written English.
It can be used when describing a model that is adaptable or can change according to different conditions or requirements.
Example: "We developed a flexible model that can accommodate various user preferences and needs."
Alternatives: "an adaptable model that" or "a versatile model that".
GEV distribution is a flexible model that combines the Gumbel, Frechet and Weibull maximum extreme value distributions [11, 17].
This is a flexible model that can estimate planes, ridges, valleys and peaks as a function of linear polynomial functions of each variable, and their interaction.
Despite the fact that the Rayleigh fading channel with a central chi-square distribution is known to be a flexible model that provides a definable number of degrees of freedom to experimental fading channel measurements for outdoor environments [23], there are very few studies for 2SRL over a central chi-square distribution Rayleigh channel.
The complete description of acoustic propagation in a multilayered system is of great interest in a variety of applications such as non-destructive evaluation and acoustic design and there is need for a flexible model that can describe the reflection and transmission of ultrasonic waves in these media.
Using this data, aregImpute fits a flexible model that predicts the missing target variable while finding its optimum transformation.
At the heart of the xQTL system is a flexible model that allows bioinformaticians to perform new analyses via R scripts and input and output data sets via the web user interface.
We've developed a very flexible model that can go into any community in LA.
By this, we provide a new flexible model that allows to understand collaboration patterns.
In particular, it is argued that meals may have evolved more for sociocultural reasons than physiological imperatives, and that biological approaches to the study of feeding episodes should adopt a more flexible model that is founded in economic or cost-benefit considerations.
This suggests the necessity of developing a more flexible model that can capture population dynamics as well as transmission dynamics for multiple vaccines of interest.
Since it is common for one or more β's to differ across values of j, we applied a more flexible model that fits three special cases of the generalized model: the proportional odds model, the partial proportional odds model, and the logistic regression model [ 27- 29].
