| predict.agelme {palaeoSig} | R Documentation | 
Predicts the Calibrated age
Description
This function uses the output from 'agelme' to predict the Calibrated ages for specified depths.
Usage
## S3 method for class 'agelme'
predict(object, v = 1, depth,...)
Arguments
| object | An 'agelme' model | 
| v | Using constant (1) or mu (2) variance | 
| depth | A vector of the depths to be predicted | 
| ... | Other arguments, currently unused. | 
Value
A list with three items
- v Whether constant variance or mu variance used. 
- fit A data.frame of the predictions including 95% confidence interval. - DepthThe depths for the predicted ages 
- EstagePredicted age 
- LowlimLower 95% confidence interval 
- UpplimUpper 95% confidence interval 
- TsdTotal standard deviation 
 
- data A data.frame containing the age and depth information of the radiocarbon dates. 
Author(s)
Einar Heegaard <einar.heegaard@bio.bui.no
References
Heegaard, E., Birks, HJB. & Telford, RJ. 2005. Relationships between calibrated ages and depth in stratigraphical sequences: an estimation procedure by mixed-effect regression. The Holocene 15: 612-618
Examples
data(STOR)
fit.mod <- with(STOR,agelme(depthup,depthdo,cageup,cagedo))
#Predicting using the constant variance model,
#for each cm between 70 and 400 cm.
fit.pre <- predict(fit.mod,1,70:400)
plot(fit.pre)