Package: gamlss.prepdata 0.1.5
gamlss.prepdata: Prepering Data for Fitting a Generalized Additive Model for Location Scale and Shape
Functions for prepering data to fit a Generalized Additive Models for Location Scale and Shape from the 'gamlss' or `gamlss2` package, Stasinopoulos and Rigby (2007) <doi:10.18637/jss.v023.i07>, using for graphical methods 'ggplot2'.
Authors:
gamlss.prepdata_0.1.5.tar.gz
gamlss.prepdata_0.1.5.zip(r-4.5)gamlss.prepdata_0.1.5.zip(r-4.4)gamlss.prepdata_0.1.5.zip(r-4.3)
gamlss.prepdata_0.1.5.tgz(r-4.5-any)gamlss.prepdata_0.1.5.tgz(r-4.4-any)gamlss.prepdata_0.1.5.tgz(r-4.3-any)
gamlss.prepdata_0.1.5.tar.gz(r-4.5-noble)gamlss.prepdata_0.1.5.tar.gz(r-4.4-noble)
gamlss.prepdata_0.1.5.tgz(r-4.4-emscripten)gamlss.prepdata_0.1.5.tgz(r-4.3-emscripten)
gamlss.prepdata.pdf |gamlss.prepdata.html✨
gamlss.prepdata/json (API)
NEWS
# Install 'gamlss.prepdata' in R: |
install.packages('gamlss.prepdata', repos = c('https://gamlss-dev.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gamlss-dev/gamlss.prepdata/issues
Last updated 5 hours agofrom:28cf1d1bfe. Checks:6 OK, 3 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 28 2025 |
R-4.5-win | NOTE | Mar 28 2025 |
R-4.5-mac | NOTE | Mar 28 2025 |
R-4.5-linux | NOTE | Mar 28 2025 |
R-4.4-win | OK | Mar 28 2025 |
R-4.4-mac | OK | Mar 28 2025 |
R-4.4-linux | OK | Mar 28 2025 |
R-4.3-win | OK | Mar 28 2025 |
R-4.3-mac | OK | Mar 28 2025 |
Exports:data_associationdata_bucketdata_cha2facdata_cordata_cutdata_dimdata_distinctdata_exclude_classdata_fac2numdata_few2facdata_int2numdata_interdata_leveragedata_namesdata_omitdata_only_continuousdata_outliersdata_partdata_part_indexdata_part_listdata_pcordata_plotdata_renamedata_responsedata_rmdata_rm1valdata_rmNAvarsdata_scaledata_selectdata_shorter_namesdata_strdata_voiddata_which_nadata_xyplotdata_zscoreshigh_vallow_valvoidy_distincty_outliersy_zscores
Dependencies:clicodetoolscolorspacedoParallelellipsefansifarverforeachFormulagamlssgamlss.datagamlss.distgamlss.foreachgamlss.ggplotsgamlss.infgamlss2ggplot2ggridgesglmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithryaImpute
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Prepering Data for Fitting a Generalized Additive Model for Location Scale and Shape | gamlss.prepdata-package gamlss.prepdata |
Plotting pairwise linear and partial correlations. | data_association data_cor data_pcor high_val low_val |
Function to get information from data. | data_dim data_names data_omit data_rename data_shorter_names data_which_na |
Identifying Pair-Wise Interactions in the Data Frames | data_inter |
Finding high leverage points | data_leverage |
Outlier identification | data_outliers y_outliers |
A function to partition a data frame | data_cut data_part data_part_index data_part_list |
Functions operating on variables in the data | data_exclude_class data_only_continuous data_rm data_rm1val data_rmNAvars data_select |
Scalling Continuous Variables in Data | data_scale |
Function applied to data | data_cha2fac data_distinct data_fac2num data_few2fac data_int2num data_str y_distinct |
Finding the Percentage of Empty Spaces | data_void void |
Plotting the response against the explanatory variables | data_bucket data_plot data_response data_xyplot data_zscores y_zscores |