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boottest(<felm>)
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Fast wild cluster bootstrap inference for object of class felm |
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boottest(<fixest>)
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Fast wild cluster bootstrap inference for object of class fixest |
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boottest(<lm>)
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Fast wild cluster bootstrap inference for object of class lm |
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boottest()
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Fast wild cluster bootstrap inference |
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boot_algo2()
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Fast wild cluster bootstrap algorithm |
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check_set_nthreads()
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Simple function that checks that the nber of threads is valid |
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cpp_get_nb_threads()
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Get maximum number of threads on hardware for open mp support |
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create_data()
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Simulate Data |
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crosstab()
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optimized collapse way to calculate crosstabs |
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crosstab3()
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collapse way to calculate crosstabs |
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crosstab4()
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Function 4 to calculate crosstabs |
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.onLoad()
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setting options for nthreads when package is loaded |
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eigenMapMatMult()
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Matrix Multiplication via Eigen |
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eigenMatMult()
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Matrix Multiplication via Eigen |
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getBoottest_nthreads()
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get the number of threads for use with open mp |
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glance(<boottest>)
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S3 method to glance at objects of class boottest |
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invert_p_val2()
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Calculation of Confidence Sets |
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plot(<boottest>)
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Plot the bootstrap distribution of t-statistics |
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preprocess2()
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function that pre-processes regression objects of type lm, fixest and feols |
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p_val_null2()
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Calculate p-values based on A, B, CC, CD, DD and other inputs |
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setBoottest_nthreads()
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Set the number of threads for use with open mp via options
By default, only one thread is used |
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summary(<boottest>)
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S3 method to summarize objects of class boottest |
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tidy(<boottest>)
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S3 method to summarize objects of class boottest into tidy data.frame |
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voters
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Random example data set |