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tests/testthat/_snaps/beta_inf_test.md
In robust2sls: Outlier Robust Two-Stage Least Squares Inference and Testing
beta_inf produces the correct output
Estimate Std. Error H0Std. Error t value H0t value
(Intercept) 106.8576319 60.181815 74.465326 1.7755801 1.4349985
Education -4.5159140 3.484161 4.311090 -1.2961265 -1.0475110
Infant.Mortality 0.3738319 1.677304 2.075395 0.2228766 0.1801257
Pr(>|t|) t dist H0Pr(>|t|) t dist Pr(>|t|) normal
(Intercept) 0.0830484 0.1586928 0.03790108
Education 0.2020092 0.3008549 0.09746595
Infant.Mortality 0.8247120 0.8579202 0.41181578
H0Pr(>|t|) normal
(Intercept) 0.1512875
Education 0.2948640
Infant.Mortality 0.8570539
attr(,"iteration")
[1] 1
attr(,"type of correction")
[1] "iteration m = 1"
Estimate Std. Error H0Std. Error t value H0t value
(Intercept) 106.8576319 60.181815 74.756614 1.7755801 1.4294071
Education -4.5159140 3.484161 4.327954 -1.2961265 -1.0434294
Infant.Mortality 0.3738319 1.677304 2.083513 0.2228766 0.1794238
Pr(>|t|) t dist H0Pr(>|t|) t dist Pr(>|t|) normal
(Intercept) 0.0830484 0.1602837 0.03790108
Education 0.2020092 0.3027183 0.09746595
Infant.Mortality 0.8247120 0.8584677 0.41181578
H0Pr(>|t|) normal
(Intercept) 0.1528873
Education 0.2967495
Infant.Mortality 0.8576049
attr(,"iteration")
[1] 1
attr(,"type of correction")
[1] "iteration m = 1"
Estimate Std. Error H0Std. Error t value H0t value
(Intercept) 95.7277242 36.739495 47.646113 2.6055809 2.0091403
Education -4.5592498 2.563448 3.324442 -1.7785616 -1.3714330
Infant.Mortality 0.7232015 1.117688 1.449489 0.6470514 0.4989356
Pr(>|t|) t dist H0Pr(>|t|) t dist Pr(>|t|) normal
(Intercept) 0.01291875 0.05147961 0.004585931
Education 0.08310804 0.17807953 0.037655833
Infant.Mortality 0.52138915 0.62062751 0.258799340
H0Pr(>|t|) normal
(Intercept) 0.04452226
Education 0.17024000
Infant.Mortality 0.61782476
attr(,"iteration")
[1] 2
attr(,"type of correction")
[1] "iteration m = 2"
Estimate Std. Error H0Std. Error t value H0t value
(Intercept) 95.7277242 36.739495 48.415234 2.6055809 1.9772232
Education -4.5592498 2.563448 3.378106 -1.7785616 -1.3496466
Infant.Mortality 0.7232015 1.117688 1.472887 0.6470514 0.4910095
Pr(>|t|) t dist H0Pr(>|t|) t dist Pr(>|t|) normal
(Intercept) 0.01291875 0.05511586 0.004585931
Education 0.08310804 0.18491196 0.037655833
Infant.Mortality 0.52138915 0.62617145 0.258799340
H0Pr(>|t|) normal
(Intercept) 0.04801641
Education 0.17712938
Infant.Mortality 0.62341971
attr(,"iteration")
[1] 2
attr(,"type of correction")
[1] "fixed point"
beta_test_avar() produces the correct output
(Intercept) Education Infant.Mortality
(Intercept) 47882.854 -2487.88923 -1198.00966
Education -2487.889 160.48927 47.73417
Infant.Mortality -1198.010 47.73417 37.19403
attr(,"type of avar")
[1] "iteration m = 1"
(Intercept) Education Infant.Mortality
(Intercept) 47882.854 -2487.88923 -1198.00966
Education -2487.889 160.48927 47.73417
Infant.Mortality -1198.010 47.73417 37.19403
attr(,"type of avar")
[1] "iteration m = 1"
(Intercept) Education Infant.Mortality
(Intercept) 25657.0672 -1487.98610 -664.16825
Education -1487.9861 124.90781 23.13644
Infant.Mortality -664.1682 23.13644 23.74552
attr(,"type of avar")
[1] "iteration m = 2"
(Intercept) Education Infant.Mortality
(Intercept) 28923.4651 -1677.42142 -748.72342
Education -1677.4214 140.80981 26.08194
Infant.Mortality -748.7234 26.08194 26.76856
attr(,"type of avar")
[1] "fixed point"
(Intercept) Education Infant.Mortality
(Intercept) 28117.8434 -1630.69925 -727.86880
Education -1630.6992 136.88775 25.35546
Infant.Mortality -727.8688 25.35546 26.02296
attr(,"type of avar")
[1] "iteration m = 3"
(Intercept) Education Infant.Mortality
(Intercept) 28923.4651 -1677.42142 -748.72342
Education -1677.4214 140.80981 26.08194
Infant.Mortality -748.7234 26.08194 26.76856
attr(,"type of avar")
[1] "fixed point"
beta_t() produces the correct output
robust m = 1 full se diff t value Pr(>|z|) Pr(>z)
(Intercept) 106.8576 99.66821 31.9184 0.2252438 0.8217896 0.4108948
Pr(<z)
(Intercept) 0.5891052
attr(,"type of avar")
[1] "iteration m = 1"
robust m = 1 full se diff t value Pr(>|z|) Pr(>z)
(Intercept) 106.8576 99.66821 31.9184 0.2252438 0.8217896 0.4108948
Pr(<z)
(Intercept) 0.5891052
attr(,"type of avar")
[1] "iteration m = 1"
robust m = 2 full se diff t value Pr(>|z|) Pr(>z)
Education -4.55925 -3.71929 1.630219 -0.5152434 0.6063829 0.6968085
Pr(<z)
Education 0.3031915
attr(,"type of avar")
[1] "iteration m = 2"
robust m = 2 full se diff t value Pr(>|z|) Pr(>z)
Education -4.55925 -3.71929 1.730882 -0.4852782 0.627479 0.6862605
Pr(<z)
Education 0.3137395
attr(,"type of avar")
[1] "fixed point"
robust m = 1 full se diff t value Pr(>|z|) Pr(>z)
(Intercept) 106.857632 99.66821 31.918398 0.2252438 0.8217896 0.4108948
Education -4.515914 -3.71929 1.847881 -0.4311011 0.6663948 0.6668026
Pr(<z)
(Intercept) 0.5891052
Education 0.3331974
attr(,"type of avar")
[1] "iteration m = 1"
robust m = 1 full se diff t value Pr(>|z|) Pr(>z)
(Intercept) 106.857632 99.66821 31.918398 0.2252438 0.8217896 0.4108948
Education -4.515914 -3.71929 1.847881 -0.4311011 0.6663948 0.6668026
Pr(<z)
(Intercept) 0.5891052
Education 0.3331974
attr(,"type of avar")
[1] "iteration m = 1"
robust m = 2 full se diff t value Pr(>|z|)
(Intercept) 95.7277242 99.6682118 23.364397 -0.1686535 0.8660692
Education -4.5592498 -3.7192903 1.630219 -0.5152434 0.6063829
Infant.Mortality 0.7232015 0.5669987 0.710791 0.2197591 0.8260587
Pr(>z) Pr(<z)
(Intercept) 0.5669654 0.4330346
Education 0.6968085 0.3031915
Infant.Mortality 0.4130294 0.5869706
attr(,"type of avar")
[1] "iteration m = 2"
robust m = 2 full se diff t value Pr(>|z|)
(Intercept) 95.7277242 99.6682118 24.8071134 -0.1588451 0.8737909
Education -4.5592498 -3.7192903 1.7308823 -0.4852782 0.6274790
Infant.Mortality 0.7232015 0.5669987 0.7546813 0.2069785 0.8360266
Pr(>z) Pr(<z)
(Intercept) 0.5631045 0.4368955
Education 0.6862605 0.3137395
Infant.Mortality 0.4180133 0.5819867
attr(,"type of avar")
[1] "fixed point"
beta_hausman() produces the correct output
Hausman test p value
[1,] 0.3201667 0.8520728
attr(,"type of avar")
[1] "iteration m = 1"
attr(,"coefficients")
[1] "(Intercept)" "Education"
Hausman test p value
[1,] 0.3201667 0.8520728
attr(,"type of avar")
[1] "iteration m = 1"
attr(,"coefficients")
[1] "(Intercept)" "Education"
Hausman test p value
[1,] 16.68802 0.0008192085
attr(,"type of avar")
[1] "iteration m = 2"
attr(,"coefficients")
[1] "(Intercept)" "Education" "Infant.Mortality"
Hausman test p value
[1,] 16.68802 0.0008192085
attr(,"type of avar")
[1] "iteration m = 2"
attr(,"coefficients")
[1] "(Intercept)" "Education" "Infant.Mortality"
Hausman test p value
[1,] 14.8034 0.001992605
attr(,"type of avar")
[1] "fixed point"
attr(,"coefficients")
[1] "(Intercept)" "Education" "Infant.Mortality"
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robust2sls documentation built on Jan. 11, 2023, 5:13 p.m.
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beta_inf produces the correct output
Estimate Std. Error H0Std. Error t value H0t value
(Intercept) 106.8576319 60.181815 74.465326 1.7755801 1.4349985
Education -4.5159140 3.484161 4.311090 -1.2961265 -1.0475110
Infant.Mortality 0.3738319 1.677304 2.075395 0.2228766 0.1801257
Pr(>|t|) t dist H0Pr(>|t|) t dist Pr(>|t|) normal
(Intercept) 0.0830484 0.1586928 0.03790108
Education 0.2020092 0.3008549 0.09746595
Infant.Mortality 0.8247120 0.8579202 0.41181578
H0Pr(>|t|) normal
(Intercept) 0.1512875
Education 0.2948640
Infant.Mortality 0.8570539
attr(,"iteration")
[1] 1
attr(,"type of correction")
[1] "iteration m = 1"
Estimate Std. Error H0Std. Error t value H0t value
(Intercept) 106.8576319 60.181815 74.756614 1.7755801 1.4294071
Education -4.5159140 3.484161 4.327954 -1.2961265 -1.0434294
Infant.Mortality 0.3738319 1.677304 2.083513 0.2228766 0.1794238
Pr(>|t|) t dist H0Pr(>|t|) t dist Pr(>|t|) normal
(Intercept) 0.0830484 0.1602837 0.03790108
Education 0.2020092 0.3027183 0.09746595
Infant.Mortality 0.8247120 0.8584677 0.41181578
H0Pr(>|t|) normal
(Intercept) 0.1528873
Education 0.2967495
Infant.Mortality 0.8576049
attr(,"iteration")
[1] 1
attr(,"type of correction")
[1] "iteration m = 1"
Estimate Std. Error H0Std. Error t value H0t value
(Intercept) 95.7277242 36.739495 47.646113 2.6055809 2.0091403
Education -4.5592498 2.563448 3.324442 -1.7785616 -1.3714330
Infant.Mortality 0.7232015 1.117688 1.449489 0.6470514 0.4989356
Pr(>|t|) t dist H0Pr(>|t|) t dist Pr(>|t|) normal
(Intercept) 0.01291875 0.05147961 0.004585931
Education 0.08310804 0.17807953 0.037655833
Infant.Mortality 0.52138915 0.62062751 0.258799340
H0Pr(>|t|) normal
(Intercept) 0.04452226
Education 0.17024000
Infant.Mortality 0.61782476
attr(,"iteration")
[1] 2
attr(,"type of correction")
[1] "iteration m = 2"
Estimate Std. Error H0Std. Error t value H0t value
(Intercept) 95.7277242 36.739495 48.415234 2.6055809 1.9772232
Education -4.5592498 2.563448 3.378106 -1.7785616 -1.3496466
Infant.Mortality 0.7232015 1.117688 1.472887 0.6470514 0.4910095
Pr(>|t|) t dist H0Pr(>|t|) t dist Pr(>|t|) normal
(Intercept) 0.01291875 0.05511586 0.004585931
Education 0.08310804 0.18491196 0.037655833
Infant.Mortality 0.52138915 0.62617145 0.258799340
H0Pr(>|t|) normal
(Intercept) 0.04801641
Education 0.17712938
Infant.Mortality 0.62341971
attr(,"iteration")
[1] 2
attr(,"type of correction")
[1] "fixed point"
beta_test_avar() produces the correct output
(Intercept) Education Infant.Mortality
(Intercept) 47882.854 -2487.88923 -1198.00966
Education -2487.889 160.48927 47.73417
Infant.Mortality -1198.010 47.73417 37.19403
attr(,"type of avar")
[1] "iteration m = 1"
(Intercept) Education Infant.Mortality
(Intercept) 47882.854 -2487.88923 -1198.00966
Education -2487.889 160.48927 47.73417
Infant.Mortality -1198.010 47.73417 37.19403
attr(,"type of avar")
[1] "iteration m = 1"
(Intercept) Education Infant.Mortality
(Intercept) 25657.0672 -1487.98610 -664.16825
Education -1487.9861 124.90781 23.13644
Infant.Mortality -664.1682 23.13644 23.74552
attr(,"type of avar")
[1] "iteration m = 2"
(Intercept) Education Infant.Mortality
(Intercept) 28923.4651 -1677.42142 -748.72342
Education -1677.4214 140.80981 26.08194
Infant.Mortality -748.7234 26.08194 26.76856
attr(,"type of avar")
[1] "fixed point"
(Intercept) Education Infant.Mortality
(Intercept) 28117.8434 -1630.69925 -727.86880
Education -1630.6992 136.88775 25.35546
Infant.Mortality -727.8688 25.35546 26.02296
attr(,"type of avar")
[1] "iteration m = 3"
(Intercept) Education Infant.Mortality
(Intercept) 28923.4651 -1677.42142 -748.72342
Education -1677.4214 140.80981 26.08194
Infant.Mortality -748.7234 26.08194 26.76856
attr(,"type of avar")
[1] "fixed point"
beta_t() produces the correct output
robust m = 1 full se diff t value Pr(>|z|) Pr(>z)
(Intercept) 106.8576 99.66821 31.9184 0.2252438 0.8217896 0.4108948
Pr(<z)
(Intercept) 0.5891052
attr(,"type of avar")
[1] "iteration m = 1"
robust m = 1 full se diff t value Pr(>|z|) Pr(>z)
(Intercept) 106.8576 99.66821 31.9184 0.2252438 0.8217896 0.4108948
Pr(<z)
(Intercept) 0.5891052
attr(,"type of avar")
[1] "iteration m = 1"
robust m = 2 full se diff t value Pr(>|z|) Pr(>z)
Education -4.55925 -3.71929 1.630219 -0.5152434 0.6063829 0.6968085
Pr(<z)
Education 0.3031915
attr(,"type of avar")
[1] "iteration m = 2"
robust m = 2 full se diff t value Pr(>|z|) Pr(>z)
Education -4.55925 -3.71929 1.730882 -0.4852782 0.627479 0.6862605
Pr(<z)
Education 0.3137395
attr(,"type of avar")
[1] "fixed point"
robust m = 1 full se diff t value Pr(>|z|) Pr(>z)
(Intercept) 106.857632 99.66821 31.918398 0.2252438 0.8217896 0.4108948
Education -4.515914 -3.71929 1.847881 -0.4311011 0.6663948 0.6668026
Pr(<z)
(Intercept) 0.5891052
Education 0.3331974
attr(,"type of avar")
[1] "iteration m = 1"
robust m = 1 full se diff t value Pr(>|z|) Pr(>z)
(Intercept) 106.857632 99.66821 31.918398 0.2252438 0.8217896 0.4108948
Education -4.515914 -3.71929 1.847881 -0.4311011 0.6663948 0.6668026
Pr(<z)
(Intercept) 0.5891052
Education 0.3331974
attr(,"type of avar")
[1] "iteration m = 1"
robust m = 2 full se diff t value Pr(>|z|)
(Intercept) 95.7277242 99.6682118 23.364397 -0.1686535 0.8660692
Education -4.5592498 -3.7192903 1.630219 -0.5152434 0.6063829
Infant.Mortality 0.7232015 0.5669987 0.710791 0.2197591 0.8260587
Pr(>z) Pr(<z)
(Intercept) 0.5669654 0.4330346
Education 0.6968085 0.3031915
Infant.Mortality 0.4130294 0.5869706
attr(,"type of avar")
[1] "iteration m = 2"
robust m = 2 full se diff t value Pr(>|z|)
(Intercept) 95.7277242 99.6682118 24.8071134 -0.1588451 0.8737909
Education -4.5592498 -3.7192903 1.7308823 -0.4852782 0.6274790
Infant.Mortality 0.7232015 0.5669987 0.7546813 0.2069785 0.8360266
Pr(>z) Pr(<z)
(Intercept) 0.5631045 0.4368955
Education 0.6862605 0.3137395
Infant.Mortality 0.4180133 0.5819867
attr(,"type of avar")
[1] "fixed point"
beta_hausman() produces the correct output
Hausman test p value
[1,] 0.3201667 0.8520728
attr(,"type of avar")
[1] "iteration m = 1"
attr(,"coefficients")
[1] "(Intercept)" "Education"
Hausman test p value
[1,] 0.3201667 0.8520728
attr(,"type of avar")
[1] "iteration m = 1"
attr(,"coefficients")
[1] "(Intercept)" "Education"
Hausman test p value
[1,] 16.68802 0.0008192085
attr(,"type of avar")
[1] "iteration m = 2"
attr(,"coefficients")
[1] "(Intercept)" "Education" "Infant.Mortality"
Hausman test p value
[1,] 16.68802 0.0008192085
attr(,"type of avar")
[1] "iteration m = 2"
attr(,"coefficients")
[1] "(Intercept)" "Education" "Infant.Mortality"
Hausman test p value
[1,] 14.8034 0.001992605
attr(,"type of avar")
[1] "fixed point"
attr(,"coefficients")
[1] "(Intercept)" "Education" "Infant.Mortality"
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