pcoriaccel_estimate_pmf: Directly estimate the probability mass function of Y.
In SensIAT: Sensitivity Analysis for Irregular Assessment Times
pcoriaccel_estimate_pmf R Documentation
Directly estimate the probability mass function of Y.
Description
Directly estimate the probability mass function of Y.
Usage
pcoriaccel_estimate_pmf(Xb, Y, xi, y_seq, h, kernel = "K2_Biweight")
Arguments
Xb
Numeric vector of individual linear predictors from the data
Y
Numeric vector of individual responses from the data
xi
value of the individuals linear predictor at the point of estimation
y_seq
Numeric vector of unique values of Y.
h
bandwidth of the kernel
kernel
character string specifying the kernel to use, either "dnorm", "K2_Biweight", or "K4_Biweight"
SensIAT documentation built on Sept. 9, 2025, 5:50 p.m.
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| pcoriaccel_estimate_pmf | R Documentation |
Directly estimate the probability mass function of Y.
Description
Directly estimate the probability mass function of Y.
Usage
pcoriaccel_estimate_pmf(Xb, Y, xi, y_seq, h, kernel = "K2_Biweight")
Arguments
Xb |
Numeric vector of individual linear predictors from the data |
Y |
Numeric vector of individual responses from the data |
xi |
value of the individuals linear predictor at the point of estimation |
y_seq |
Numeric vector of unique values of |
h |
bandwidth of the kernel |
kernel |
character string specifying the kernel to use, either |
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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