R: Speedy Word Embedding Association Test and Extras Using R

# Speedy Word Embedding Association Test and Extras Using R

## Documentation for package ‘sweater’ version 0.1.8

- DESCRIPTION file
- Package README

## Help Pages

calculate_es | Calculate the effect size of a query
ect | Embedding Coherence Test
ect_es | Calculate the Spearman Coefficient of an ECT result
glove_math | A subset of the pretrained GLoVE word vectors
googlenews | A subset of the pretrained word2vec word vectors
mac | Mean average cosine similarity
mac_es | Calculation of MAC Effect Size
nas | Calculate Normalized Association Score
plot.sweater | Visualize the bias of words in S
plot_bias | Visualize the bias of words in S
plot_ect | Plot an ECT result on a two-dimensional plane
print.sweater | A common interface for making query
query | A common interface for making query
read_word2vec | A helper function for reading word2vec format
rnd | Relative Norm Distance
rnd_es | Calculation of sum of all relative norm distances
rnsb | Relative Negative Sentiment Bias
rnsb_es | Calculation the Kullback-Leibler divergence
semaxis | Characterise word semantics using the SemAxis framework
small_reddit | A subset of the pretrained word2vec word vectors on Reddit
weat | Speedy Word Embedding Association Test
weat_es | Calculation of WEAT effect size
weat_exact | Test of significance for WEAT
weat_resampling | Test of significance for WEAT