iter_est_ws: Iterative Step to find best parameters with weighted sampling
In skgallagher/TBornotTB: Analyze Tuberculosis Patients in Maryland
Description
Usage
Arguments
Value
View source: R/weighted-sampling.R
Description
Iterative Step to find best parameters with weighted sampling
Usage
1
iter_est_ws(init_par, freq, n_vec, x_vec, B = 10, iters = 10)
Arguments
init_par
parameters to optimize over. par[1] is beta_0 and par[2] is beta_1
freq
vector of times the cluster of size n with x positives occurred
n_vec
cluster sizes
x_vec
number of positives in each cluster
B
samples to make for each
iters
max number of iterations
Value
optim results for beta_0 and beta_1
skgallagher/TBornotTB documentation built on April 21, 2020, 1:19 p.m.
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Description Usage Arguments Value
View source: R/weighted-sampling.R
Description
Iterative Step to find best parameters with weighted sampling
Usage
1 | iter_est_ws(init_par, freq, n_vec, x_vec, B = 10, iters = 10)
|
Arguments
init_par |
parameters to optimize over. par[1] is beta_0 and par[2] is beta_1 |
freq |
vector of times the cluster of size n with x positives occurred |
n_vec |
cluster sizes |
x_vec |
number of positives in each cluster |
B |
samples to make for each |
iters |
max number of iterations |
Value
optim results for beta_0 and beta_1
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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