allDistributions | function to make list of all distributions and relevant info |
Alteryx_distributions | Get distributions supported by Alteryx tools |
Alteryx_distributions_continuous | Get continuous distributions supported by Alteryx tools |
Alteryx_distributions_discrete | Get discrete distributions supported by Alteryx tools |
best_process | Code for processing when process = "best" |
bin_to_data | Converts binned data into vector of data |
checkForMissingXVars | Check for missing predictors in score data as compared to the... |
chi_sq | Convert a fit to corresponding chisq value |
convert_dist | Convert distribution name to R distribution function suffix |
convertTo01 | Generic method for converting vector to 0/1 |
convertTo01.character | convert character of Yes/No vector to 0/1 |
convertTo01.default | Convert default vector to 0/1 |
convertTo01.factor | convert character vector to 0/1 |
custom_chisq | Get chi squared value from MLE for custom mle function for... |
custom_chisq_discrete | Get chisq value from MLE for custom chisq function for... |
data_process | Code for processing data inputs |
doInChunks | Apply function to each chunk if in Alteryx. If outside, run... |
each_process | Code for processing when process = "each" |
entire_process | Code for processing when process = "entire" |
errorCheckBounds | Generic error check for illegal bounds; throws error if set... |
errorCheckBounds.binomial | Error check for binomial out of bounds |
errorCheckBounds.default | Default error check for bounds method |
errorCheckBounds.gamma | Error check for gamma out of bounds |
errorCheckBounds.geometric | Error check for geometric out of bounds |
errorCheckBounds.lognormal | Error check for lognormal out of bounds |
errorCheckBounds.pareto | Error check for pareto out of bounds |
errorCheckBounds.paretoAlteryx | Error check for pareto out of bounds |
errorCheckBounds.poisson | Error check for poisson out of bounds |
errorCheckParams | Generic check for illegal parameters; throws error if params... |
errorCheckParams.default | Default error check; returns no error |
errorCheckParams.triangular | triangular distribution error check |
errorCheckParams.uniform | uniform distribution error check |
fapply | Apply list of functions to single argument |
findInputs | Find inputs that start with a root |
findTrueInput | Find inputs that start with a root and have the value TRUE |
fit_best_single | For specified distribution, find parameters for best-fitting... |
fitdist_Alteryx | Generic method for fitting distribution |
fitdist_Alteryx.binom | Fit binomial |
fitdist_Alteryx.binomial | Fit binomial distribution |
fitdist_Alteryx.default | Default method for fitting distribution Uses... |
fitdist_Alteryx.geom | Fit geometric distribution |
fitdist_Alteryx.geometric | Fit geometric distribution |
fitdist_Alteryx.pareto | Fit pareto distribution |
fitdist_Alteryx.paretoAlteryx | Fit pareto distribution |
fitdist_Alteryx.pois | Fit poisson distribution |
fitdist_Alteryx.poisson | Fit poisson distribution |
fitdist_Alteryx.triangle | Fit triangular distribution |
fitdist_Alteryx.triangular | Fit triangular distribution |
fit_dists | Generic method for fitting over vector of distributions |
fit_dists2 | Generic non-S3 method for distribution fitting |
fit_dists.data.frame | Fit each column to best fitting distribution and distribution... |
fit_dists.default | Fit single vector across all distributions to best parameters |
fit_info | Get info on fitting and gof |
get_chunk_sizes | Give vector of chunk sizes |
getErrorVec | Function to get error vector |
getSampleSizes | Get sample sizes for chunks |
getScore | Helper function for simulateNonGLM for scores < 0 or > 1 |
getTarVarName | Extract target variable name from model object |
inAlteryx | Check if code is running inside an Alteryx R Tool. |
loadPackageForScoring | Load any needed packages based on the class of the model |
mapReduce | Map reduce code to help with processing of chunks |
mapReduceChunkArg | Map reduce code to help with processing of chunks, with... |
nonStratSampling | Get sample sizes for simple (non-stratified) sampling |
param_process | Code for processing parametric inputs |
prepareDataForScoring | Score a model |
process_fit_element | Process a fit element created by 'fit_dists' on a data.frame |
qparetoAlteryx | pareto inverse CDF function |
quantile_sample | Quantile function sampling |
questions | Question Inputs |
rej_sample_from_dist | Parametric Rejection Sampling |
removeMissingLevels | Remove missing levels from score data based on model data |
rparetoAlteryx | pareto random sampling function |
saImportance | Importance index |
sample_best | Find best fit for each column and sample from it |
sample_df | Sample entire records from dataset |
sample_df_indep | Sample from dataset, sampling from columns independently |
sample_hyper | Samples flexible parameters from distribution |
sample_hyper_join | Joins hyperparameter to existing data |
sample_LH_from_dist | Latin Hypercube Parametric Sampling |
sample_MC_from_dist | Monte Carlo Parametric Sampling |
saPr2 | Partial Correlation Coefficients |
saPrSingle | Partial Correlation Coefficients |
saR | Pearson's R |
saScat | Function to make collection of scatter plots |
scoreErrorCheck | Error check to ensure model class matches "isGLM" |
scoreProcess | Function to score model with added samples from an error... |
simGLM | Repurpose stats package 'simulate' function to work on new... |
simNonGLM | function to draw from error distribution and add to... |
singleScat | Function to make single scatter plot |
stratSampling | Get sample sizes for stratified sampling |
tool_process | Code for sampling tool in Alteryx |
try_fit_best_single | Apply best fit function and catch potential errors Necessary... |
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