estimatr 1.0.6

• Allows for prediction with lm_lin() when treatment is a factor and/or multi-valued.
• Adds saved treatment_levels to the returned lm_lin model object.
• Stops prediction for lm_lin if the treatment values in new data are not a subset of treatment_levels.
• Standardizes model fit for lm_lin() models with no intercept.
• Adds tests to ensure identical predictions from lm_lin() models where treatment is either numeric or factorial, and fit with/without an intercept.
• Adds relevant examples to predict and lm_robust and lm_lin documentation.
• Adds Molly Offer-Westort as a contributor.
• Remove functionality for using lh_robust with multiple hypotheses.
• Restricted functionality for using lh_robust with clustered standard errors to CR0 standard errors.

estimatr 1.0.4

• Test suite changes for M1 mac stay current on CRAN.

estimatr 1.0.2

• Minor documentation changes to stay current on CRAN.

estimatr 1.0.0

• Version bump to coincide with DeclareDesign package version 1.0.0
• Tests edited

estimatr 0.30.6

• Fix tests to address CRAN failures

estimatr 0.30.4

• Bug fix of tidy handling of conf.level
• Bug fix of lh_robust tidy

estimatr 0.30.2

• Remove lfe from tests

estimatr 0.30.0

• Test suite changes (skip if not installed for checking against other packages)

estimatr 0.28.0

• Test suite changes

estimatr 0.26.0

• Test suite changes

estimatr 0.24.0

• tidy: rename nobs, nclusters, nblocks
• tidy: new arguments conf.int, conf.level
• Added update.iv_robust()
• Bug fix regarding fixed effects with large numbers

estimatr 0.22.0

• Bug fixes

estimatr 0.20.0

• Added support for emmeans (thanks @rvlenth)!
• Fixed bug when estimating diagnostics in iv_robust() without explicitly specifying se_type (issue #310)
• Support for rlang 0.4.0

estimatr 0.18.0

• Fixed bug where collinear covariates caused fixed effects estimator to crash (issue #294)
• Added glance.lh_robust() and fixed some issues with printing and summarizing lh_robust() objects (issues #295 and #296)
• Fixes CRAN errors in testing with new clubSandwich package

estimatr 0.16.0

• Add diagnostics to iv_robust()
• Add glance() methods for all estimators
• Add lh_robust() for easy interface to car::linearHypothesis()
• Fixed minor bug with a formula such as is.na(var) in the covariates formula in lm_lin() (issue #283)

estimatr 0.14.0

• Removes broom hack for tidy method and instead relies on importing generics

estimatr 0.12.0

• Fixed ambiguity about how interacted covariates were centered in lm_lin
• A series of fixes for bugs that occurred with multiple outcomes (multivariate regression):
  • Fixed bug pointed out by James Pustejovsky via the sandwich version 2.5-0 and off-diagonal blocks of multivariate regression vcov matrices
  • Fixed bugs in lm_lin preventing multivariate regression
  • Fixed bug that truncated degrees of freedom with “CR2” standard errors
  • Fixed bug that returned incorrect R-squared for the second or later outcomes
• Fixed bug preventing integration with latest version of margins
• Fixed bug with difference_in_means when using condition1 and condition2 to subset a treatment vector with more than two treatment conditions. Previous estimates and standard errors were incorrect.

estimatr 0.10.0

• Changed names of confidence interval columns in tidied data from ci.lower and ci.upper to conf.low and conf.high to be in line with other tidy methods
• Added support for fixed_effects that are just one block
• Added support for specifing condition_prs in horvitz_thompson() as a single number
• Added t- and z-statistics to output
• Limit unnecessary messaging in horvitz_thompson()

estimatr 0.8.0

• Added support for absorbing fixed effects in lm_robust and iv_robust
• Added commarobust and starprep for stargazer integration
• Added texreg support for 2SLS IV models
• Fixed bugs for incorrect F-statistics with robust standard errors
• Refactor of main fitting engine for linear models

estimatr 0.6.0

• Added support for multivariate linear models
• Added support for instrumental variables regression
• Major change to name of object output elements to mostly match with broom::tidy
  • old -> new
  • coefficient_names -> term
  • se -> std.error
  • p -> p.values
  • ci_lower -> ci.lower
  • ci_upper -> ci.upper
  • All of the above changes are also made to the column names on the output of tidy; furthermore for tidy objects one further name change from coefficients -> estimate has been made
• Fixed bug that caused variances, standard errors, and p-values to be wrong for weighted “CR2” variance estimation
• Fixed incorrect estimates when both weights and blocks were passed to difference_in_means
• Rewrite NSE handling to be done by rlang
• Rewrite na.omit handler in R
• Major refactor of C++ underlying regression estimators

estimatr 0.4.0

• Changed suffix added to centered variables in lm_lin() from _bar to _c
• Added all vignettes to .Rbuildignore, only available on website now
• Fixed lm_robust_helper.cpp algorithm to not catch own exception and to deal with valgrind memory errors
• Bugfix where passing a formula as an object within a function would fail
• Simplified some tests for various CRAN test platforms

estimatr 0.2.0

• First CRAN upload