risk: Estimated risk
In dmarcondes/mdyn: Scripts to analyse mobile data and model population dynamics
Description
Usage
Format
Details
Value
References
Description
List containing th risk of infection by COVID-19 estimated to each city of each available state of Brazil by
Peixoto et. al. (2020).
Usage
1
Format
An object of class list of length 2.
Details
Data of each state is named in the list by the two letters in lowercase which represent their name.
Value
State
The name of the state.
City
The performance in Calculus II.
sXXX
The rank infection estimated for each intensity of moviment s. See Peixoto et. al. (2020) for more details.
risk_lesser
Risk calculated considering only the values of s lesser than one.
risk_greater
Risk calculated considering only the values of s greater or equal to one.
risk
Risk calculated considering all values of s.
References
Peixoto, et. al. Modeling future spread of infections via mobile geolocation data and population dynamics.
An application to COVID-19 in Brazil. 2020. Available at <https://www.ime.usp.br/~pedrosp/covid-19/>.
dmarcondes/mdyn documentation built on April 3, 2021, 4:50 a.m.
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Description Usage Format Details Value References
Description
List containing th risk of infection by COVID-19 estimated to each city of each available state of Brazil by Peixoto et. al. (2020).
Usage
1 |
Format
An object of class list of length 2.
Details
Data of each state is named in the list by the two letters in lowercase which represent their name.
Value
State |
The name of the state. |
City |
The performance in Calculus II. |
sXXX |
The rank infection estimated for each intensity of moviment s. See Peixoto et. al. (2020) for more details. |
risk_lesser |
Risk calculated considering only the values of s lesser than one. |
risk_greater |
Risk calculated considering only the values of s greater or equal to one. |
risk |
Risk calculated considering all values of s. |
References
Peixoto, et. al. Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil. 2020. Available at <https://www.ime.usp.br/~pedrosp/covid-19/>.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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