• psd: https://cran.r-project.org/web/packages/psd/psd.pdf
• seewave: https://cran.r-project.org/web/packages/seewave/seewave.pdf
• soundecology: https://cran.r-project.org/web/packages/soundecology/soundecology.pdf
• tuneR: https://cran.r-project.org/web/packages/tuneR/tuneR.pdf

• foreign: https://cran.r-project.org/web/packages/foreign/foreign.pdf
  • – Stata, SPSS, SAS, and more

• ivreg: https://cran.r-project.org/web/packages/ivreg/vignettes/ivreg.html
  • – 2SLS (2 stage least squares)
• REndo: https://cran.r-project.org/web/packages/REndo/REndo.pdf 
  • – These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed.

• openxlsx: https://cran.r-project.org/web/packages/openxlsx/openxlsx.pdf
• apaTables: https://cran.r-project.org/web/packages/apaTables/apaTables.pdf

• From Psych perspective (i.e., RCM growth modeling): 
  • multilevel: https://cran.r-project.org/web/packages/multilevel/multilevel.pdf 
• From Econ/Strategy perspective (i.e., panel data): 
  • plm: https://cran.r-project.org/web/packages/lme4/lme4.pdf
  • panelr: https://cran.r-project.org/web/packages/panelr/panelr.pdf

• lavaan: https://cran.r-project.org/web/packages/lavaan/lavaan.pdf
• processR: https://cran.r-project.org/web/packages/processR/vignettes/processR.html

• lavaan: https://cran.r-project.org/web/packages/lavaan/lavaan.pdf
• processR: https://cran.r-project.org/web/packages/processR/vignettes/processR.html 
• stargazer: https://cran.r-project.org/web/packages/stargazer/stargazer.pdf 
• rockchalk: https://cran.r-project.org/web/packages/rockchalk/rockchalk.pdf

• AICcmodavg: https://cran.r-project.org/web/packages/AICcmodavg/AICcmodavg.pdf
• ResourceSelection: https://cran.r-project.org/web/packages/ResourceSelection/ResourceSelection.pdf 
• generalhoslem: https://cran.r-project.org/web/packages/generalhoslem/generalhoslem.pdf 
  • – Goodness of Fit Tests for Logistic Regression Models

• multilevel (RCM): https://cran.r-project.org/web/packages/multilevel/multilevel.pdf 
• lme4 (RCM): https://cran.r-project.org/web/packages/lme4/lme4.pdf 
• plm (fixed effects regression): https://cran.r-project.org/web/packages/lme4/lme4.pdf

• nnet: https://cran.r-project.org/web/packages/nnet/nnet.pdf 
• mnlogit: https://cran.r-project.org/web/packages/mnlogit/mnlogit.pdf 
• VGAM: https://cran.r-project.org/web/packages/VGAM/VGAM.pdf

• network: https://cran.r-project.org/web/packages/network/network.pdf 
• igraph: https://cran.r-project.org/web/packages/igraph/igraph.pdf

• stepAIC: https://www.rdocumentation.org/packages/MASS/versions/7.3-53/topics/stepAIC

caret: https://cran.r-project.org/web/packages/caret/caret.pdf

• tm: https://cran.r-project.org/web/packages/tm/tm.pdf 
  • – Text mining 
• sentimentr: https://cran.r-project.org/web/packages/sentimentr/sentimentr.pdf 
  • – Calculate text polarity sentiment 
• stm: https://cran.r-project.org/web/packages/stm/stm.pdf 
  • – Structural topic modeling 
• syuzhet: https://cran.r-project.org/web/packages/syuzhet/syuzhet.pdf 
  • – Extracts sentiments and sentiment-derived plot arcs (over time) from text 
• quanteda: https://cran.r-project.org/web/packages/quanteda/quanteda.pdf
  • – Flexible text analysis tool with ability to plot co-occurrence networks, apply dictionaries, create word clouds, etc.

• ggplot2: https://cran.r-project.org/web/packages/ggplot2/ggplot2.pdf
• lattice: https://cran.r-project.org/web/packages/lattice/lattice.pdf 
• RColorBrewer: https://cran.r-project.org/web/packages/RColorBrewer/RColorBrewer.pdf

rvest: https://cran.r-project.org/web/packages/rvest/rvest.pdf

BeautifulSoup: https://beautiful-soup-4.readthedocs.io/en/latest/