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.

Functions for fitting semiparametric regression models for
        panel count survival data. An overview of the package can be found 
        in Wang and Yan (2011) <doi:10.1016/j.cmpb.2010.10.005> and
	Chiou et al. (2018) <doi:10.1111/insr.12271>.

Performs estimation and testing of the treatment effect in a 2-group randomized clinical trial with a quantitative, dichotomous, or right-censored time-to-event endpoint. The method improves efficiency by leveraging baseline predictors of the endpoint. The inverse probability weighting technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used to provide unbiased estimation when the endpoint is missing at random.

A set of functions for computing potential evapotranspiration and several widely used drought indices including the Standardized Precipitation-Evapotranspiration Index (SPEI).

Automatically replaces "misspelled" words in a character vector
    based on their string distance from a list of words sorted by their frequency
    in a corpus. The default word list provided in the package comes from 
    the Corpus of Contemporary American English. Uses the Jaro-Winkler distance
    metric for string similarity as implemented in van der Loo (2014) 
    <doi:10.32614/RJ-2014-011>. The word frequency data is derived from 
    Davies (2008-) "The Corpus of Contemporary American English (COCA)" 
    <https://www.english-corpora.org/coca/>.