Comments (2)
Will fix the issue, thanks for reporting.
from samplics.
I noticed one other thing. I believe in this part of the snippet the current version of samplics uses remove_nan instead of exclude_nan as a param.
zinc_mean_str = TaylorEstimator("mean").estimate(
y=nhanes2f["zinc"],
samp_weight=nhanes2f["finalwgt"],
stratum=nhanes2f["stratid"],
psu=nhanes2f["psuid"],
exclude_nan=True
)
exclude_nan does not work for me, but remove_nan does.
from samplics.
Related Issues (20)
- Add datasets referenced in tutorial notebooks as part of the repo HOT 2
- fix use of some deprecated things HOT 1
- testing HOT 1
- comm. guidelines HOT 1
- minor issues w/ writing HOT 1
- Estimation problem: 'division by 0' HOT 7
- Documentation outdated in README and ReadTheDocs HOT 1
- RuntimeWarning: divide by zero encountered in log ll_term1 = np.log(np.linalg.det(V)) HOT 1
- "cannot reshape array" error message with crosstabs containing 0-value cells (samplics 0.3.12 and 0.3.13) HOT 28
- Enhancements for sample estimation - response rate and sampling
- LinAlgError: Singular matrix when running EBLUP Area Model HOT 3
- Reference formulas for four main types of comparisons, in particular "comparison of two groups from the same sample"?
- Enhancement: Add MIVQUE0 estimation method for EBLUP area model HOT 1
- Sample designing HOT 2
- Preserve the GLM model information
- Question: Is it possible to draw a one-stage PPS sample? (no stratum) HOT 3
- Lonely PSUs HOT 2
- Documentation details for Sample Size calculation is limited HOT 4
- weird dependency on pandas 1.5.3 when upgrading to samplics 0.4.11 HOT 4
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