jip_Tille: Tillé's approximation of joint-inclusion probabilities
In rhobis/jipApprox: Approximate Inclusion Probabilities for Survey Sampling
View source: R/jip_approximations.R
jip_Tille R Documentation
Tillé's approximation of joint-inclusion probabilities
Description
Compute the approximation of joint-inclusion probabilities by means of the
Iterative Proportional Fitting Procedure (IPFP) proposed by Tillé (1996)
Usage
jip_Tille(pik, eps = 1e-06, maxIter = 1000)
Arguments
pik
numeric vector of first-order inclusion probabilities for all
population units.
eps
tolerance value for the convergence of the fixed-point procedure
maxIter
a scalar indicating the maximum number of iterations for the
fixed-point procedure
rhobis/jipApprox documentation built on Sept. 12, 2023, 7:01 a.m.
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View source: R/jip_approximations.R
| jip_Tille | R Documentation |
Tillé's approximation of joint-inclusion probabilities
Description
Compute the approximation of joint-inclusion probabilities by means of the Iterative Proportional Fitting Procedure (IPFP) proposed by Tillé (1996)
Usage
jip_Tille(pik, eps = 1e-06, maxIter = 1000)
Arguments
pik |
numeric vector of first-order inclusion probabilities for all population units. |
eps |
tolerance value for the convergence of the fixed-point procedure |
maxIter |
a scalar indicating the maximum number of iterations for the fixed-point procedure |
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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