A collection of tools intended to make introductory
    statistics easier to teach, including wrappers for common
    hypothesis tests and basic data manipulation. Accompanies the
    textbook "Learning Statistics with R: A Tutorial for Psychology
    Students and Other Beginners" by Navarro.

Routines to perform large scale regression. Linear, logistic,
    and Poisson regressions are supported. Large scale regression efficiently
    fits models where a small number of covariates are changing and the
    subjects have complete data. A genome wide association study would be
    an example.

Rapid satellite data streams in operational applications
    have clear benefits for monitoring land cover, 
    especially when information can be delivered as fast as changing
    surface conditions. Over the past decade,
    remote sensing has become a key tool for monitoring and predicting
    environmental variables by using satellite data. 
    This package presents the main applications in remote sensing for 
    land surface monitoring and land cover mapping (soil, vegetation, water...).
     Tomlinson, C.J., Chapman, L., Thornes, E., Baker, C (2011) <doi:10.1002/met.287>.

Due to lack of proper inference procedure and software,
        the ordinary linear regression model is seldom used in practice
        for the analysis of right censored data. This paper presents an
        S-Plus/R program that implements a recently developed inference
        procedure (Jin, Lin and Ying, 2006) <doi:10.1093/biomet/93.1.147> 
        for the accelerated failure time model based on the least-squares
        principle.

Render 'LimeSurvey' '.lss' survey exports as multilingual
    questionnaire documents in Word ('.docx') or PDF, displaying up to
    four languages side by side with localized chrome in English, French,
    German, Spanish and Italian. Includes a rule-based automated audit
    that flags missing translations, forward filter references, duplicate
    codes, array-scale inconsistencies and orphan structural references.
    Designed for anyone working with a 'LimeSurvey' survey: researchers,
    methodologists, ethics committees, translators and reviewers.
    Processing is fully
    local: the source file is the only input and no questionnaire content
    is uploaded to a third-party service.