An R-based econometrics MCP server that provides advanced statistical modeling capabilities through R packages like plm, lmtest, and AER. Developed by goji+, the server enables AI assistants to perform complex econometric analyses including linear regression, panel data modeling, instrumental variables regression, and diagnostic testing across various research domains. Useful for researchers and data scientists seeking programmatic access to robust statistical modeling tools.
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Highlight AIOLS with robust standard errors, R², p-values. Parameters: formula (string), data (object)
Binary classification with odds ratios and accuracy. Parameters: formula (string), data (object), family (string), link (string)
Pearson, Spearman, and Kendall correlations. Parameters: data (object), variables (array of strings), method (string)
Autoregressive integrated moving average with forecasting. Parameters: data (object), order (array of integers)
Trend, seasonal, remainder components. Parameters: data (object), model (string)
ADF, KPSS, Phillips-Perron tests. Parameters: data (array), test (string)
Create time-shifted variables for analysis. Parameters: data (object), lag (integer), lead (integer)
Handle outliers by capping extreme values. Parameters: data (array), limits (array of numbers)
Create stationary series for time series analysis. Parameters: data (array), lag (integer)
Z-score, min-max, robust scaling. Parameters: data (array), method (string)
One-sample, two-sample, paired t-tests. Parameters: data (object), type (string)
Analysis of variance with Types I/II/III. Parameters: formula (string), data (object)
Independence and goodness-of-fit. Parameters: observed (array), expected (array)
Shapiro-Wilk, Jarque-Bera, Anderson-Darling. Parameters: data (array), test (string)
Comprehensive descriptives with grouping. Parameters: data (object), group_by (string)
IQR, Z-score, Modified Z-score methods. Parameters: data (array), method (string)
Counts and percentages with sorting. Parameters: data (array), sort_by (string)
Fixed/random effects for longitudinal data. Parameters: formula (string), data (object)
2SLS with endogeneity testing. Parameters: formula (string), data (object)
Multivariate time series modeling. Parameters: data (object), lags (integer)
Unsupervised clustering with validation. Parameters: data (object), n_clusters (integer)
Classification and regression trees. Parameters: data (object), target (string), features (array of strings)
Ensemble methods with variable importance. Parameters: data (object), target (string), features (array of strings)
Correlation plots with trend lines. Parameters: data (object), x (string), y (string)
Distribution analysis with density overlay. Parameters: data (array), bins (integer)
Quartile analysis with outlier detection. Parameters: data (array), groups (array of strings)
Temporal data visualization. Parameters: data (object), time (string), value (string)
Matrix visualization. Parameters: data (object), method (string)
Model validation plots. Parameters: data (object), model (string)
Flexible data loading with parsing options. Parameters: filepath (string), options (object)
Data export with formatting control. Parameters: filepath (string), data (object), options (object)
Comprehensive data structure analysis. Parameters: data (object)
Complex conditional data selection. Parameters: data (object), conditions (string)
