linearmodels — panel data models, instrumental variable (IV) estimators, system estimators (SUR, 3SLS), and linear factor models for econometrics and quantitative research in Python. Provides fixed ef
Use with AI
Install the MCP server or CLI to instantly fetch linearmodels documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/linearmodels
BCFtools — comprehensive toolkit for manipulating variant calls in VCF and BCF format. Provides variant calling (mpileup + call), filtering, querying, merging, concatenation, normalization, annotation
1 shared topic • 2 shared operations
Limnology (freshwater science) — computational toolkit for freshwater ecosystem analysis including lake thermal stratification (rLakeAnalyzer), lake metabolism estimation (LakeMetabolizer), eDNA metab
1 shared topic • 2 shared operations
Use when performing GWAS fine-mapping with PAINTOR (Probabilistic Annotation INTegratOR). Computes posterior inclusion probabilities (PIPs) for causal variants by integrating summary statistics (Z-sco
1 shared topic • 2 shared operations
Use when working with PolyFun — functionally-informed polygenic fine-mapping from GWAS summary statistics. Computes per-SNP heritability priors using S-LDSC with functional annotations, then runs SuSi
1 shared topic • 2 shared operations
Use when working with SparsePro for GWAS fine-mapping and causal variant identification. Sparse variational inference framework that computes posterior inclusion probabilities (PIPs) and credible sets
1 shared topic • 2 shared operations