xarray-spatial — fast Numba-accelerated Python library for raster spatial analysis operations on xarray DataArrays. Provides surface analysis (slope, aspect, curvature, hillshade, viewshed), focal sta
Use with AI
Install the MCP server or CLI to instantly fetch xarray-spatial documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/xarray-spatial
cmprsk — Subdistribution Analysis of Competing Risks. R package providing non-parametric cumulative incidence estimation via cuminc() with Gray's K-sample test for group comparisons, Fine & Gray propo
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DAGitty — graphical analysis of causal models using directed acyclic graphs (DAGs). Create DAGs with dagitty(), identify minimal adjustment sets for unbiased causal effect estimation (adjustmentSets),
1 shared topic • 1 shared operation
glmmTMB — R package for fitting generalized linear mixed models (GLMMs) and extensions using Template Model Builder. Supports zero-inflation via ziformula, dispersion modeling via dispformula, and 15+
1 shared topic • 1 shared operation
rstpm2 — R package for generalized survival models (GSMs), smooth accelerated failure time (AFT) models, and Markov multi-state models. Flexible parametric survival analysis via stpm2() with natural s
1 shared topic • 1 shared operation
scipy.optimize — Unified interface for numerical optimization in Python. Provides local and global minimization (minimize, differential_evolution, dual_annealing), root finding (root, root_scalar), cu
1 shared topic • 1 shared operation