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

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

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

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)

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

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.

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()

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

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