The phrase "accommodated over time" is correct and usable in written English.
It can be used to describe how something has been adjusted or adapted gradually throughout a period.
Example: "The policies have been accommodated over time to better meet the needs of the community."
Alternatives: "adapted over time" or "adjusted over time".
Last year, Facebook turned Messenger into a platform that will accommodate brands over time, while WhatsApp will also soon allow users to connect with companies too.
Like DESeq2 and edgeR, maSigPro-GLM is based on a negative binomial (NB) generalized linear model (GLM); but unlike previous approaches, maSigPro-GLM defines gene-specific expected expression by a time-dependent polynomial to accommodate dependence over time.
In addition, as these approaches were not designed specifically for time-course experiments, they do not accommodate dependence over time and consequently sacrifice power if applied in this setting.
While it is never fixed and explicitly accommodates change over time, and centrally argues that masculinities are by nature fluid and dynamic, it is not intended to enable identification of significant moments when hegemonic masculinity is more rather than less gender equitable.
Patients' need for health information may change over time as they master skills or develop new concerns, and repeated tailoring to accommodate those changes is challenging.
We therefore observed certain ways in which users accommodated the system over time, but despite spending many months in the field we did not have the opportunity to assess the more embedded use of the software.
It was designed to accommodate over 100 missiles at a time and to launch up to 36 daily.
"He has become more and more accommodating to unions over time," said Fred Siegel, a professor of history at Cooper Union who has written "The Prince of the City," a book about Mayor Rudolph W. Giuliani.
It has to be a set of processes that can flexibly accommodate every vertical over time.
A key aspect of the STS models is that the pursuit of stationarity is not necessary since the time series components such as trend and, seasonal and cyclical factors can accommodate evolving distributions over time.
