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A B C D E F G I L M N O P S T V X Y Z
| DAMisc-package | Dave Armstrong's Miscellaneous Functions |
| aclp | Example data for btscs function |
| alsos | Alternating Least Squares Optimal Scaling |
| alsosDV | Alternating Least Squares Optimal Scaling |
| as.crit | Fit a local polynomial regression with automatic smoothing parameter selection |
| aveEffPlot | Average Effect Plot for Generalized Linear Models |
| balsos | Bayesian Alternating Least Squares Optimal Scaling |
| BGMtest | Tests the five Berry, Golder and Milton (2012) Interactive Hypothesis |
| binfit | Scalar Measures of Fit for Binary Variable Models |
| binVar | Bin a Variable |
| boot.alsos | Bootstrapping function for the ALSOS algorithm |
| btscs | Generate Spells for Binary Variables |
| cat2Table | Fitted Values and CIs for 2-Categorical Interactions |
| changeSig | Regions of Statistical Significance in Interactions |
| combTest | Test for Combining Categories in Multinomial Logistic Regression Models. |
| concordant | Make Categorical Association Statistics |
| crSpanTest | Test of Span Parameter in linearity for Component + Residual Plots |
| crTest | Test of linearity for Component + Residual Plots |
| cv.lo2 | Cross-validating Loess curve |
| DAintfun | Surface Plots for Two-Way Interactions |
| DAintfun2 | Conditional Effects Plots for Interactions in Linear Models |
| DAintfun3 | Conditional Effects Plots for Interactions in Linear Models |
| DAMisc | Dave Armstrong's Miscellaneous Functions |
| describe_data | Interactive List of Variables |
| discordant | Make Categorical Association Statistics |
| effect_logistf | Plot Effects from Firth Logit |
| france | Example data for factorplot function |
| ggpie | Pie Charts with ggplot2 |
| glmChange | Maximal First Differences for Generalized Linear Models |
| glmChange2 | Maximal First Differences for Generalized Linear Models |
| impCoef | Plot Variable Importance. |
| inspect | Inspect a Variable in a Data Frame |
| inspect.data.frame | Inspect a Variable in a Data Frame |
| inspect.tbl_df | Inspect a Variable in a Data Frame |
| intEff | Functions for Estimating Interaction Effects in Logit and Probit Models |
| InteractionEx | Example Data for DAintfun |
| intQualQuant | Predictions for Factor-Numeric Interactions in Linear Models |
| lambda | Make Categorical Association Statistics |
| loess.as | Fit a local polynomial regression with automatic smoothing parameter selection |
| loessDeriv | Estimate Derivatives of LOESS Curve. |
| logit_cc | Functions for Estimating Interaction Effects in Logit and Probit Models |
| logit_cd | Functions for Estimating Interaction Effects in Logit and Probit Models |
| logit_dd | Functions for Estimating Interaction Effects in Logit and Probit Models |
| makeHypSurv | Make Hypothetical Predictions for Survey Data |
| make_assoc_stats | Make Categorical Association Statistics |
| mnlAveEffPlot | Average Effects Plot for Multinomial Logistic Regression |
| mnlChange | Maximal First Differences for Multinomial Logistic Regression Models |
| mnlChange2 | Average Effects for Multinomial Logistic Regression Models |
| mnlfit | Fit Statistics and Specification Test for Multinomial Logistic Regression |
| mnlSig | Print Statistically Significant MNL Coefficients |
| NKnots | AIC and BIC selection of number of spline knots |
| NKnotsTest | Test of functional form assumption using B-splines |
| oc2plot | Plot First Differences from Ordinal DV Model |
| opt.span | Fit a local polynomial regression with automatic smoothing parameter selection |
| ord.gamma | Make Categorical Association Statistics |
| ord.somers.d | Make Categorical Association Statistics |
| ordAveEffPlot | Plot Average Effects of Variables in Proportional Odds Logistic Regression |
| ordChange | Maximal First Differences for Proportional Odds Logistic Regression Models |
| ordChange2 | Average Effects for Proportional Odds Logistic Regression Models |
| ordfit | Fit Statistics for Proportional Odds Logistic Regression Models |
| outEff | Plot Effects of Removing Outliers |
| outXT | Create LaTeX or CSV versions of an Object Produced by CrossTable |
| panel.2cat | Lattice panel function for confidence intervals with capped bars |
| panel.ci | Lattice panel function for confidence intervals |
| panel.doublerug | Lattice panel function for two rug plots |
| panel.transci | Lattice panel function for translucent confidence intervals |
| pgumbel | PDF of the Gumbel Distribution |
| phi | Make Categorical Association Statistics |
| plot.alsos | Plotting method for ALSOS object |
| plot.balsos | Plot Results from BALSOS |
| plot.loess | Plot LOESS curve. |
| plot.secdiff | Plotting Method for Second Difference Objects |
| poisfit | Scalar Measures of Fit for Poisson GLMs Models |
| poisGOF | Deviance and Chi-squared Goodness-of-Fit Test for Poisson Models |
| powerTrans | Power Transformation Function |
| pre | Proportional and Expected Proportional Reductions in Error |
| prepanel.ci | Lattice prepanel function for confidence intervals |
| print.diffci | Print Confidence Intervals for Predicted Probabilities and Their Differences |
| print.glmc2 | Print method for glmChange objects |
| print.iqq | Print method for intQualQuant objects. |
| print.mnlfit | Fit Statistics and Specification Test for Multinomial Logistic Regression |
| print.ordChange | Print method for ordChange objects |
| print.ordfit | Fit Statistics for Proportional Odds Logistic Regression Models |
| print.pre | Print method for objects of class pre |
| print.xt | Cross-Tabulation of Weighted or Unweighted Data |
| probci | Confidence Intervals for Predicted Probabilities and Their Differences |
| probgroup | Plog Probabilities by Group |
| probgroup.multinom | Plog Probabilities by Group |
| probgroup.polr | Plog Probabilities by Group |
| probit_cc | Functions for Estimating Interaction Effects in Logit and Probit Models |
| probit_cd | Functions for Estimating Interaction Effects in Logit and Probit Models |
| probit_dd | Functions for Estimating Interaction Effects in Logit and Probit Models |
| pwCorrMat | Pairwise Correlation Matrix |
| scaleDataFrame | Standardize quantitative variables in a data frame |
| searchVarLabels | Search Variable Labels Attribute |
| searchVarLabels.data.frame | Search Variable Labels Attribute |
| searchVarLabels.tbl_df | Search Variable Labels Attribute |
| secondDiff | Calculate Cross-Derivative and its Variability |
| sig.cor | Pairwise Correlation Matrix |
| simPredpolr | Calculate Predictions for Proportional Odds Logistic Regression |
| simrho | Make Categorical Association Statistics |
| simtab | Make Categorical Association Statistics |
| simtable | Make Categorical Association Statistics |
| summary.balsos | Summry method for Bayesian ALSOS |
| summary.secdiff | Summary for Second Difference Objects |
| sumStats | Summary Statistics |
| sumStats.data.frame | Summary Statistics |
| sumStats.survey.design | Summary Statistics |
| tau.b | Make Categorical Association Statistics |
| test.balsos | Testing Measurement Level Assumptions. |
| testGAMint | Simulated F-test for Linear Interactions |
| testLoess | Significance Test for Loess vs. LM |
| testNL | Test Transformations and Polynomials in Non-linear Models |
| testNL.glm | Test Transformations and Polynomials in Non-linear Models |
| testNL.lm | Test Transformations and Polynomials in Non-linear Models |
| tscslag | Lag a time-series cross-sectional variables |
| tTest | t-Test function |
| V | Make Categorical Association Statistics |
| xt | Cross-Tabulation of Weighted or Unweighted Data |
| xt.data.frame | Cross-Tabulation of Weighted or Unweighted Data |
| xt.survey.design | Cross-Tabulation of Weighted or Unweighted Data |
| yeo.johnson | Yeo-Johnson Transformation |
| yj_trans | Optimizing Yeo-Johnson Transformation |
| ziChange | Maximal First Differences for Zero-Inflated Models |