Converts the floor speeches of Uruguayan legislators, extracted from the 
    parliamentary minutes, to tidy data.frame where each observation is the intervention of a single legislator.

Scrap speech text and speaker informations of speeches of House of 
          Representatives of Brazil, and transform in a cleaned tibble.

Transcribe audio files using the 'Speechmatics'
    speech-to-text API <https://www.speechmatics.com/>. Supports custom
    vocabulary, speaker diarization, punctuation control, and audio
    filtering.

Fitting linear models and generalized linear models to large data sets by updating algorithms, according to the method described in Enea (2009, ISBN: 9788861294257).

A suite of functions that allow a full, fast, and efficient Bayesian treatment of the Bradley--Terry model. 
             Prior assumptions about the model parameters can be encoded through a multivariate normal prior distribution. 
             Inference is performed using a latent variable representation of the model.

Label, recode, rename, and convert datasets and ASCII files more efficiently. 'speedycode' automates the code necessary for labeling variables with the 'labelled' package, recoding and renaming variables with 'dplyr' syntax, and converting ASCII files with the 'readroper' package. Most functions require only the name of the dataset and the code will be automatically written. Some convenience functions useful for converting ASCII files are also included.

Import classification results from the 'RDP Classifier' (Ribosomal Database Project),' 'USEARCH sintax,' 'vsearch sintax' and the 'QIIME2' (Quantitative Insights into Microbial Ecology) classifiers into 'phyloseq' tax_table objects.

Maximum-likelihood estimation of the spatial autoregressive
    stochastic frontier model with individual fixed effects (removed by
    first differencing) and endogenous regressors handled through a Gaussian
    control function, as in Giannini (2025) <doi:10.1080/17421772.2024.2414962>.
    Returns coefficient estimates and standard errors, spatially-corrected
    technical (in)efficiency scores, and direct, indirect and total marginal
    impacts. Depends only on base R.