# scf 1.0.7

* `scf_pctile_cut()` reconceptualized as `scf_pctile_sum()` with integrated calls for stats
* Added function handling to `scf_update_by_implicate()` and updated cascading dependencies
* Update `scf_percentile()` to handle SCF stack method for percentile estimation
* Added `scf_deflate()` to convert nominal dollar estimates to real terms. Applies CPI-U-RS deflation factors (taken from the Federal Reserve Board's SCF Bulletin SAS macro) to results from `scf_mean()`, `scf_median()`, `scf_percentile()`, and `scf_ttest()`. Both point estimates and standard errors are rescaled; t-statistics, degrees of freedom, and p-values are left unchanged.
* Fixed a memory bloat issue in `scf_ols()`, `scf_glm()`, and `scf_logit()` where the full survey design object (data plus 999 replicate weights per implicate) was retained in each stored implicate-level model. The design is now released after coefficient and variance extraction, reducing result object size by roughly 5x.
* Eliminated use of `<<-` in `scf_regtable()` error-handler closures; restructured `tryCatch()` calls to return values directly.

# scf 1.0.6

* Added `scf_quantreg()` for weighted quantile regression on multiply-imputed SCF data, with coefficient pooling across implicates.
* Added `scf_pctile_cut()` for creating percentile-based grouping variables, including both implicate-specific and Federal Reserve-style stacked percentile methods.
* Other miscellaneous minor fixes


# scf 1.0.5

* Correct error in standard error estimates for `scf_median()`, `scf_percentile()`, and `scf_mean()`
* Suppressed known `svyquantile()` replicate-weight warnings for cleaner output.
* Added S3 methods for `"scf_model_result"` (`coef`, `vcov`, `predict`, `AIC`, `residuals`, `formula`) and updated model output structure accordingly.
* Standardized temporary-directory handling and safe file cleanup across all examples.

# scf 1.0.4 

* First version successfully published to CRAN.

# scf 1.0.3

* Created new mock data object for CRAN compliance.  Required altered testing across package.

# scf 1.0.2

* Minor nonfunctional error corrections to ensure CRAN compliance

# scf 1.0.1

* Minor nonfunctional changes to conform to CRAN submission standards
* Fixed `scf_load()` to expunge non-functioning deprecated artifacts
* removed scf_extract_implicates() as it lost utility in `scf_load()` rebuild

# scf 1.0.0

* Initial release of the `scf` package.
* Implements functions for weighted, multiply-imputed SCF data analysis.
* Known benign warning: `"non-integer #successes in a binomial glm!"` during logistic regression (see [Stack Overflow](https://stackoverflow.com/questions/12953045/warning-non-integer-successes-in-a-binomial-glm-survey-packages)).