CalcStayerLin: Estimates Stayer Proportion
In jordanaron22/PartiallyObservedHMM: HMM for Partiall Observed Three Diagnostic Test Data
Description
Usage
Arguments
Value
Description
Calculates first expectation in supplementary materials section 1.2
Usage
1
CalcStayerLin(data, init, tran, class, freq_vec, pi_0, likelihoods)
Arguments
data
two dimensional matrix for individual. 1st dimension is time 2nd is partially observed data
init
initial probabilities
tran
transition probabilities
class
classification probabilities
freq_vec
frequency vector to go along with data
pi_0
probability of being stayer
likelihoods
list of likelihoods for each individual
Value
estimates stayer probability
jordanaron22/PartiallyObservedHMM documentation built on May 21, 2020, 6:49 p.m.
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Description Usage Arguments Value
Description
Calculates first expectation in supplementary materials section 1.2
Usage
1 | CalcStayerLin(data, init, tran, class, freq_vec, pi_0, likelihoods)
|
Arguments
data |
two dimensional matrix for individual. 1st dimension is time 2nd is partially observed data |
init |
initial probabilities |
tran |
transition probabilities |
class |
classification probabilities |
freq_vec |
frequency vector to go along with data |
pi_0 |
probability of being stayer |
likelihoods |
list of likelihoods for each individual |
Value
estimates stayer probability
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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