aoristic_vm_mle: Get maximum likelihood estimates for the von Mises...
In keesmulder/aoristicinference: Analyses for aoristic (ie. interval-censored circular) data through descriptive, parametric and non-parametric models
Description
Usage
Arguments
Value
Examples
Description
Get maximum likelihood estimates for the von Mises distribution based on
aoristic data.
Usage
1
aoristic_vm_mle(d, kp_max = 100, ...)
Arguments
d
Data frame with columns t_start and t_end, which are
the start and end times.
kp_max
Maximum value of kp to search for.
...
Additional arguments for the optimize.
Value
Numeric vector of length two; estimates for mean direction mu
and concentration parameter kp, respectively.
Examples
1
2
dat <- generateAoristicData(n = 200)
aoristic_vm_mle(dat)
keesmulder/aoristicinference documentation built on May 4, 2019, 3:17 p.m.
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Description Usage Arguments Value Examples
Description
Get maximum likelihood estimates for the von Mises distribution based on aoristic data.
Usage
1 | aoristic_vm_mle(d, kp_max = 100, ...)
|
Arguments
d |
Data frame with columns |
kp_max |
Maximum value of |
... |
Additional arguments for the |
Value
Numeric vector of length two; estimates for mean direction mu
and concentration parameter kp, respectively.
Examples
1 2 | dat <- generateAoristicData(n = 200)
aoristic_vm_mle(dat)
|
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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