Gdat: Count of Fresh Gopher Tortoise Shells
In sthomas522/hmclearn: Fit Statistical Models Using Hamiltonian Monte Carlo
Description
Usage
Format
Source
References
Description
A dataset containing the count of fresh gopher shells by area.
Usage
1
Format
A data frame with 30 rows and 7 variables:
- Site
name of site
- year
years 2004, 2005, 2006
- shells
count of shells
- type
fresh water
- Area
area of the site
- density
estimated tortoise density
- prev
Seroprevalence to Mycoplasma agassizii
Source
Ozgul, A., Oli, M. K., Bolker, B. M., & Perez-Heydrich, C. (2009). Upper respiratory tract disease, force of infection, and effects on survival of gopher tortoises. Ecological Applications, 19(3), 786–798
References
Fox, G. A., Negrete-Yankelevich, S., & Sosa, V. J. (Eds.). (2015). Ecological statistics: contemporary theory and application. Oxford University Press, USA.
Bolker, Ben (2018) GLMM Worked Examples https://bbolker.github.io/mixedmodels-misc/ecostats_chap.html
sthomas522/hmclearn documentation built on Oct. 16, 2020, 8:34 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Source References
Description
A dataset containing the count of fresh gopher shells by area.
Usage
1 |
Format
A data frame with 30 rows and 7 variables:
- Site
name of site
- year
years 2004, 2005, 2006
- shells
count of shells
- type
fresh water
- Area
area of the site
- density
estimated tortoise density
- prev
Seroprevalence to Mycoplasma agassizii
Source
Ozgul, A., Oli, M. K., Bolker, B. M., & Perez-Heydrich, C. (2009). Upper respiratory tract disease, force of infection, and effects on survival of gopher tortoises. Ecological Applications, 19(3), 786–798
References
Fox, G. A., Negrete-Yankelevich, S., & Sosa, V. J. (Eds.). (2015). Ecological statistics: contemporary theory and application. Oxford University Press, USA.
Bolker, Ben (2018) GLMM Worked Examples https://bbolker.github.io/mixedmodels-misc/ecostats_chap.html
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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