lidar: Light Detection and Ranging Data
In chngpt: Estimation and Hypothesis Testing for Threshold Regression
lidar R Documentation
Light Detection and Ranging Data
Description
LIDAR
Usage
data("lidar")
Format
A data frame with 221 observations on the following 2 variables.
rangea numeric vector
logratioa numeric vector
Source
Holst, U., Hossjer, O., Bjorklund, C., Ragnarson, P. and Edner, H. (1996), Locally weighted leastsquares kernel regression and statistical evaluation of LIDAR measurements, Environmetrics,7, 401-416.
Wakefield (2013), Bayesian and Frequentist Regression Methods. Chapter 11 Spline and Kernel Methods.
chngpt documentation built on Feb. 16, 2023, 10:38 p.m.
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| lidar | R Documentation |
Light Detection and Ranging Data
Description
LIDAR
Usage
data("lidar")
Format
A data frame with 221 observations on the following 2 variables.
rangea numeric vector
logratioa numeric vector
Source
Holst, U., Hossjer, O., Bjorklund, C., Ragnarson, P. and Edner, H. (1996), Locally weighted leastsquares kernel regression and statistical evaluation of LIDAR measurements, Environmetrics,7, 401-416. Wakefield (2013), Bayesian and Frequentist Regression Methods. Chapter 11 Spline and Kernel Methods.
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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