Package: LLMing 1.2.1

LLMing: Large Language Model (LLM) Tools for Psychological Text Analysis

A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) and a text generation method. <doi:10.1016/j.ress.2015.05.025>.

Authors:Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]

LLMing_1.2.1.tar.gz
LLMing_1.2.1.zip(r-4.7)LLMing_1.2.1.zip(r-4.6)LLMing_1.2.1.zip(r-4.5)
LLMing_1.2.1.tgz(r-4.6-any)LLMing_1.2.1.tgz(r-4.5-any)
LLMing_1.2.1.tar.gz(r-4.7-any)LLMing_1.2.1.tar.gz(r-4.6-any)
LLMing_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LLMing/json (API)
NEWS

# Install 'LLMing' in R:

install.packages('LLMing', repos = c('https://sliplr19.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sliplr19/llming/issues

On CRAN:

3.48 score 2 scripts 470 downloads 11 exports 154 dependencies

Last updated from:f6c30365a1. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	166
source / vignettes	OK	242
linux-release-x86_64	OK	167
macos-release-arm64	OK	122
macos-oldrel-arm64	OK	176
windows-devel	OK	85
windows-release	OK	82
windows-oldrel	OK	92
wasm-release	OK	140

Exports:embed G_thres normahalo pCOS pCOS_row rep_set sim_SNN text_datagen textanomaly vector_SNN z_score

Dependencies:base64enc bit bit64 bslib cachem class cli clipr clock codetools colorspace commonmark cowplot cpp11 crayon curl data.table dbscan diagram dials DiceDesign digest dplyr evaluate farver fastmap fastmatch float fontawesome fs furrr future future.apply GauPro generics ggforce ggplot2 ggrepel ggwordcloud globals glue gower gridtext gtable gtools hardhat here highr hms htmltools ipred isoband ISOcodes jpeg jquerylib jsonlite KernSmooth knitr labeling lattice lava lbfgs lgr lifecycle listenv litedown lubridate magrittr markdown MASS Matrix MatrixExtra memoise mime mixopt mlapi modelenv nnet numDeriv parallelly parsnip patchwork pillar pkgconfig png polyclip pracma prettyunits prodlim progress progressr purrr quanteda R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppProgress RcppTOML Rdpack readr recipes reticulate RhpcBLASctl rlang rmarkdown rpart rprojroot rsample rsparse RSpectra S7 sass scales sfd shape slider SnowballC sparsevctrs splitfngr SQUAREM stopwords stringi stringr survival systemfonts tailor text text2vec textmineR tibble tidyr tidyselect timechange timeDate tinytex topics tune tweenr tzdb utf8 vctrs viridisLite vroom warp withr workflows xfun xml2 yaml yardstick

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Embed texts with a selected embedding model	embed
Thresholding of pCOS dataframe	G_thres
Local outlier score	normahalo
pCOS scores for every row of dataframe	pCOS
Pairwise cosine-style row score	pCOS_row
The vectors of the shared nearest neighbors	rep_set
Compute shared nearest neighbors	sim_SNN
Generate text data via Python LLM	text_datagen
Text anomaly score	textanomaly
Aggregate dataframe into mean feature vectors Aggregrate dataframe into mean feature vectors	vector_SNN
Z-score on columns	z_score