Translations update from Hosted Weblate

po/R-de.po

@@ -2,7 +2,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: jaspProcess 0.19.2\n"
 "POT-Creation-Date: 2025-07-19 04:00\n"
-"PO-Revision-Date: 2026-06-20 05:04+0000\n"
+"PO-Revision-Date: 2026-07-06 09:01+0000\n"
 "Last-Translator: Johannes Keyser <joke@fsfe.org>\n"
 "Language-Team: German <https://hosted.weblate.org/projects/jasp/jaspprocess-"
 "r/de/>\n"
@@ -11,9 +11,8 @@ msgstr ""
 "Content-Type: text/plain; charset=UTF-8\n"
 "Content-Transfer-Encoding: 8bit\n"
 "Plural-Forms: nplurals=2; plural=n != 1;\n"
-"X-Generator: Weblate 2026.7.dev0\n"
+"X-Generator: Weblate 2026.7.1.dev0\n"
 
-#, fuzzy
 msgid "Process Analysis"
 msgstr "Prozessanalyse"
 
@@ -77,11 +76,9 @@ msgstr "Obergrenze"
 msgid "R-hat"
 msgstr "R-Dach"
 
-#, fuzzy
 msgid "ESS (bulk)"
 msgstr "ESS (Großteil)"
 
-#, fuzzy
 msgid "ESS (tail)"
 msgstr "ESS (Randbereich)"
 
@@ -264,6 +261,9 @@ msgid ""
 "'Auto' estimators. Please choose a different estimator or option for missing "
 "value handling."
 msgstr ""
+"Schätzung per Volle-Information-Maximum-Likelihood ist nur verfügbar mit "
+"\"ML\" oder \"Auto\"-Schätzern. Wählen Sie bitte einen anderen Schätzer oder "
+"Option zur Behandlung fehlender Werte."
 
 msgid "<li>Some implied model variances are > 1,000,000</li>"
 msgstr "<li>Manche implizierten Modellvarianzen sind > 1.000.000</li>"

po/R-zh_Hans.po

@@ -0,0 +1,280 @@
+msgid ""
+msgstr ""
+"Project-Id-Version: jaspProcess 0.97.1\n"
+"POT-Creation-Date: 2026-07-04 04:55\n"
+"PO-Revision-Date: 2026-07-10 05:01+0000\n"
+"Last-Translator: 陳正昌 <chencc99@gmail.com>\n"
+"Language-Team: Chinese (Simplified Han script) <https://hosted.weblate.org/"
+"projects/jasp/jaspprocess-r/zh_Hans/>\n"
+"Language: zh_Hans\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"X-Generator: Weblate 2026.7.1.dev0\n"
+
+msgid "Process Analysis"
+msgstr "过程分析"
+
+msgid "Model summary"
+msgstr "模型摘要"
+
+msgid "WAIC"
+msgstr ""
+
+msgid "LOOIC"
+msgstr ""
+
+msgid "PPP"
+msgstr ""
+
+msgid "BIC"
+msgstr ""
+
+msgid "BIC weight"
+msgstr "BIC权重"
+
+msgid "Estimate"
+msgstr "估计"
+
+msgid "SE"
+msgstr "标准误"
+
+msgid "LOO Difference"
+msgstr "留一法差值"
+
+msgid "ELPD"
+msgstr ""
+
+msgid "Ratio"
+msgstr "比率"
+
+msgid "n"
+msgstr ""
+
+msgid "Posterior"
+msgstr "后验"
+
+msgid "%s%% Credible Interval"
+msgstr "%s%% 可信区间"
+
+msgid "Mean"
+msgstr "均值"
+
+msgid "Median"
+msgstr "中位数"
+
+msgid "SD"
+msgstr "标准差"
+
+msgid "Lower"
+msgstr "下界"
+
+msgid "Upper"
+msgstr "上界"
+
+msgid "R-hat"
+msgstr ""
+
+msgid "ESS (bulk)"
+msgstr "ESS 有效样本量（ bulk ）"
+
+msgid "ESS (tail)"
+msgstr "ESS 有效样本量（尾部）"
+
+msgid "Warning:"
+msgstr "警告："
+
+msgid "Path coefficients"
+msgstr "路径系数"
+
+msgid "Label"
+msgstr "标签"
+
+msgid "Prior"
+msgstr "先验"
+
+msgid "Direct and indirect effects"
+msgstr "直接与间接效应"
+
+msgid "Total effects"
+msgstr "总效应"
+
+msgid "Residual covariances"
+msgstr "残差协方差"
+
+msgid "MCMC Plots"
+msgstr "MCMC 马尔可夫链蒙特卡洛图"
+
+msgid "Warning: WAIC estimate unreliable -- at least one effective parameter estimate (p_waic) larger than 0.4. We recommend using LOO instead."
+msgstr ""
+"警告：WAIC 估计不可靠—至少有一个有效参数估计值（p_waic）大于 0.4。建议改用 "
+"LOO 方法。"
+
+msgid "Warning: LOO estimate unreliable -- at least one observation with shape parameter (k) of the generalized Pareto distribution higher than 0.5."
+msgstr "警告：LOO估计不可靠—至少有一个观测值的广义帕累托分布形状参数（k）大于0.5。"
+
+msgid "WAIC and LOO cannot be calculated if no covariances are estimated for independent variables with missing data."
+msgstr "若未对含缺失数据的自变量估计协方差，则无法计算 WAIC 与 LOO。"
+
+msgid "Estimates might be biased -- %i divergent transitions after warmup."
+msgstr "估计值可能存在偏倚 —— 预热期后出现 %i 次发散转移。"
+
+msgid "Bayesian Fraction of Missing Information (BFMI) was too low in %i chains -- the posterior distribution was not explored efficiently."
+msgstr "%i 条链的缺失信息贝叶斯占比（BFMI）过低 —— 后验分布未被有效探索。"
+
+msgid "The Hamiltonian Monte Carlo procedure might be inefficient -- %i transition exceeded the maximum tree depth."
+msgstr "哈密顿蒙特卡洛过程可能效率较低 — %i 次转移超过了最大树深。"
+
+msgid "Low estimation accuracy for %1$s quantities -- the smallest Effective Sample Size (ESS) is %2$.2f < %3$1.0f."
+msgstr "%1s量的估计精度较低——最小有效样本量（ESS）为.2f < %3$1.0f。"
+
+msgid "Inference possibly unreliable -- MCMC chains might not have converged; the largest R-hat is %1$.3f > %2$.2f."
+msgstr "推断可能不可靠 — MCMC链可能未收敛；最大的R-hat为 %1.3f>.3f>.2f。"
+
+msgid "Dependent variables must be continuous."
+msgstr "因变量必须为连续变量。"
+
+msgid "Hayes number"
+msgstr "Hayes 编号"
+
+msgid "Model configuration number defined by Hayes (2022)."
+msgstr "由Hayes（2022）定义的模型配置编号。"
+
+msgid "AIC"
+msgstr ""
+
+msgid "AIC weight"
+msgstr "AIC权重"
+
+msgid "Log-likelihood"
+msgstr "对数似然值"
+
+msgid "df"
+msgstr "自由度"
+
+msgid "Std. Error"
+msgstr "标准误"
+
+msgid "z-value"
+msgstr "z 值"
+
+msgid "p"
+msgstr ""
+
+msgid "%s%% Confidence Interval"
+msgstr "%s%% 置信区间"
+
+msgid "Std. Estimate"
+msgstr "标准化估计值"
+
+msgid "bias-corrected percentile"
+msgstr "偏差校正百分位法"
+
+msgid "percentile"
+msgstr "百分位"
+
+msgid "normal theory"
+msgstr "正态理论"
+
+msgid "Moderated mediation index"
+msgstr "有调节的中介效应指数"
+
+msgid "Total"
+msgstr "总计"
+
+msgid "Total indirect"
+msgstr "总间接效应"
+
+msgid "Local tests"
+msgstr "局部检验"
+
+msgid "Conditional independence tests"
+msgstr "条件独立性检验"
+
+msgid "Model did not converge."
+msgstr "模型未收敛。"
+
+msgid "RMSEA"
+msgstr "近似误差均方根 （RMSEA）"
+
+msgid "&#967;&sup2;"
+msgstr ""
+
+msgid "Std. error"
+msgstr "标准误"
+
+msgid "R-squared"
+msgstr "R 平方"
+
+msgid "Conceptual path plot"
+msgstr "概念路径图"
+
+msgid "Statistical path plot"
+msgstr "统计路径图"
+
+msgid "Model syntax"
+msgstr "模型语法"
+
+msgid "Model must be a directed acyclic graph -- it must not contain loops."
+msgstr "模型必须为有向无环图—不得包含回路。"
+
+msgid "%1$s: Hayes configuration %2$s not implemented"
+msgstr "%1s：未实现Hayes配置编号%2$s"
+
+msgid "Estimation failed because of an internal error."
+msgstr "估计因内部错误而失败。"
+
+msgid "Full Information Maximum Likelihood estimation only available with 'ML' or 'Auto' estimators. Please choose a different estimator or option for missing value handling."
+msgstr ""
+"全信息最大似然估计仅适用于 'ML' 或 'Auto' 估计量。请选择其他估计量或更改缺失"
+"值处理选项。"
+
+msgid "<li>Some implied model variances are > 1,000,000</li>"
+msgstr "<li>某些隐含模型方差大于1,000,000</li>"
+
+msgid "<li>Some implied model variances are at least a factor 1000 times larger than others</li>"
+msgstr "<li>某些隐含模型方差至少比其他方差大1000倍</li>"
+
+msgid "The information matrix could not be inverted. This may be a symptom that the model is not identified. Possible reasons: <ul>%s</ul>"
+msgstr "信息矩阵无法求逆。这可能是模型未识别的征兆。可能原因：<ul>%s</ul>"
+
+msgid "At least one model is incomplete or no model is specified. Please add at least one model and complete specified models."
+msgstr "至少有一个模型不完整或未指定模型。请至少添加一个模型并补全已指定的模型。"
+
+msgid "The AIC, BIC and additional information criteria are only available with ML-type estimators."
+msgstr "AIC、BIC及其他信息准则仅适用于ML类估计量。"
+
+msgid "<b>Important</b>: Parameter estimates can only be interpreted as causal effects if all confounding effects are accounted for and if the causal effect directions are correctly specified."
+msgstr ""
+"<b>重要提示</b>：只有在考虑了所有混杂效应且正确指定了因果效应方向的情况下，参"
+"数估计值才能被解释为因果效应。"
+
+msgid "Please check the model specification and lavaan syntax."
+msgstr "请检查模型设定和lavaan语法。"
+
+msgid "Linear test type cannot be applied to factor variables. Choose a different test type or remove all factor variables from the model."
+msgstr ""
+"线性检验类型不能应用于因子变量。请选择其他检验类型，或从模型中移除所有因子变"
+"量。"
+
+msgid "The specified model does not imply any (conditional) independencies that can be tested."
+msgstr "指定的模型未蕴含任何可检验的（条件）独立性关系。"
+
+msgid "Partially standardized estimate because effect involves categorical predictor."
+msgstr "因效应涉及分类预测变量，故为部分标准化估计值。"
+
+msgid "Moderation effect estimates are based on mean-centered variables."
+msgstr "调节效应估计值基于均值中心化后的变量。"
+
+msgid "Confidence intervals are %s bootstrapped. Standard errors, <em>z</em>-values and <em>p</em>-values are based on the delta method."
+msgstr "置信区间为 %s 自助法；标准误、<em>z</em> 值和 <em>p</em> 值基于delta法。"
+
+msgid "Not all bootstrap samples were successful: CI based on %.0f samples."
+msgstr "并非所有自助法样本均成功：置信区间基于 %.0f 个样本。"
+
+msgid "Model does not contain moderated indirect effects for<br>which the moderated medation index can be calculated."
+msgstr "模型不包含可计算有调节的中介效应指数的有调节的间接效应。"
+
+msgid "<em>p</em>-values adjusted for multiple comparisons with the %s method."
+msgstr "<em>p</em> 值采用 %s 法进行多重比较校正。"