ChakataStat

ChakataStat is a commercial desktop application for statistical data analysis on Linux. It is intended for researchers, students, and analysts who need substantial statistical tools without a subscription or a steep learning curve. In the Education category, it supports work that involves preparing, examining, and analyzing structured data.

Its main workspace includes a spreadsheet-style data editor and a Variable View for recording metadata, value labels, and missing-value rules. This lets users keep track of what columns represent as well as the values they contain. ChakataStat can import SPSS SAV, Stata DTA, and SAS transport XPT files while retaining available labels, measures, and missing-value information. It also opens CSV and TSV files in plain or gzipped form, Excel XLSX, legacy XLS and ODS files, Parquet, Arrow or Feather, JSON or NDJSON, and fixed-width text, with detection for supported encodings and delimiters based on file content.

The Analyze catalog includes descriptive statistics, linear, logistic, Poisson, regularized, robust, nonlinear, and instrumental-variable regression, along with mediation and moderated mediation. It covers panel regression with fixed and random effects and the Hausman test, General Linear Models, Linear Mixed Models, GLMM, equivalence testing with TOST, exploratory and confirmatory factor analysis, latent class analysis, item response theory, and cluster analysis. Other procedures include survival analysis, time-series methods such as ARIMA, seasonal decomposition, vector autoregression and Granger causality, complex survey designs with strata, clusters, and sampling weights, Bayesian tests, permutation tests, meta-analysis with forest and funnel plots, propensity-score matching and weighting with balance diagnostics, and Bland-Altman method comparison. The catalog also includes nonparametric analysis.

ChakataStat exports data to CSV, Excel, Parquet, and JSON, allowing analyzed files to be saved in commonly used formats. MirrorNest fits its Linux software catalog by linking directly to the official ChakataStat release rather than mirroring the application. The commercial license and direct-release distribution are relevant to readers who want to evaluate the software through its official source.